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CAMEL [[electronic resource] ] : intelligent networks for the GSM, GPRS and UMTS network / / Rogier Noldus
| CAMEL [[electronic resource] ] : intelligent networks for the GSM, GPRS and UMTS network / / Rogier Noldus |
| Autore | Noldus Rogier |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 |
| Descrizione fisica | 1 online resource (429 p.) |
| Disciplina |
621.3821
621.38456 |
| Soggetto topico |
Computer networks
Artificial intelligence Global system for mobile communications |
| ISBN |
1-280-60601-0
9786610606016 0-470-02848-3 0-470-02847-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CAMEL; Contents; Foreword by Keijo Palviainen; Foreword by Gerry Christensen; Preface; 1 Introduction to GSM Networks; 1.1 Signalling in GSM; 1.2 GSM Mobility; 1.3 Mobile Station; 1.4 Identifiers in the GSM Network; 1.4.1 International Mobile Subscriber Identity; 1.4.2 Mobile Station Integrated Services Digital Network Number (MSISDN Number); 1.4.3 International Mobile Equipment Identifier; 1.4.4 Mobile Station Roaming Number; 1.5 Basic Services; 1.5.1 Tele Services; 1.5.2 Bearer Services; 1.5.3 Circuit Bearer Description; 1.6 Supplementary Services; 2 Introduction to Intelligent Networks
2.1 History of Intelligent Networks2.2 Principles of Intelligent Networks; 2.3 Service Switching Function; 2.4 Service Control Function; 2.5 Basic Call State Model; 2.6 Dialogue Handling; 2.6.1 DP Arming/Disarming Rules; 2.6.2 Control vs Monitor Relationship; 2.7 Evolution of the CAMEL Standard; 2.7.1 Third-generation Partnership Project; 2.7.2 CAMEL Standards and Specifications; 2.8 Principles of CAMEL; 2.8.1 Location Update Procedure; 2.8.2 CAMEL Application Part; 2.8.3 Abstract Syntax Notation; 2.8.4 Application Context; 2.9 Signalling for CAMEL; 2.9.1 Message Transfer Part 2.9.2 Signalling Connection Control Part2.9.3 Transaction Capabilities; 2.10 Dynamic Load Sharing; 2.11 Using Signalling Point Code for Addressing in HPLMN; 3 CAMEL Phase 1; 3.1 Architecture for CAMEL Phase 1; 3.1.1 Functional Entities; 3.1.2 Information Flows; 3.2 Feature Description; 3.2.1 Mobile-originated Calls; 3.2.2 Mobile-terminated Calls; 3.2.3 Mobile-forwarded Calls; 3.2.4 Any-time Interrogation; 3.3 Subscription Data; 3.3.1 Originating CSI and Terminating CSI; 3.4 Basic Call State Model; 3.4.1 Originating Basic Call State Model; 3.4.2 Terminating Basic Call State Model 3.4.3 Detection Points3.4.4 Points in Call; 3.4.5 BCSM State Transitions; 3.4.6 gsmSSF Process; 3.4.7 Tssf Timer; 3.5 CAMEL Application Part; 3.5.1 Initial DP; 3.5.2 Request Report BCSM; 3.5.3 Event Report BCSM; 3.5.4 Continue; 3.5.5 Connect; 3.5.6 Release Call; 3.5.7 Activity Test; 3.6 Service Examples; 3.6.1 Virtual Private Network; 3.6.2 Pre-paid Route Home; 3.6.3 Short Number Dialling with CLI Guarantee; 4 CAMEL Phase 2; 4.1 Introduction; 4.2 Architecture; 4.2.1 Functional Entities; 4.2.2 Information Flows; 4.3 Feature Description; 4.3.1 On-line Charging Control 4.3.2 Call Forwarding Notifications4.3.3 Follow-on Calls; 4.3.4 User Interaction; 4.3.5 Equal Access; 4.3.6 Enhancement of Call Control; 4.3.7 Supplementary Service Invocation Notification; 4.3.8 Short Forwarded-to Numbers; 4.3.9 Conditional Triggering; 4.3.10 USSD control; 4.4 Subscription Data; 4.4.1 Originating CSI; 4.4.2 Terminating CSI; 4.4.3 Supplementary Service CSI; 4.4.4 Translation Information Flag CSI; 4.4.5 Unstructured Supplementary Service Data CSI; 4.4.6 USSD Generic CSI; 4.5 Basic Call State Model; 4.5.1 Originating Basic Call State Model 4.5.2 Terminating Basic Call State Model |
| Record Nr. | UNINA-9910830591903321 |
Noldus Rogier
|
||
| Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Channel coding in communication networks [[electronic resource] ] : from theory to turbocodes / / edited by Alain Glavieux
| Channel coding in communication networks [[electronic resource] ] : from theory to turbocodes / / edited by Alain Glavieux |
| Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE, 2007 |
| Descrizione fisica | 1 online resource (438 p.) |
| Disciplina |
003.54
003/.54 621.3821 |
| Altri autori (Persone) | GlavieuxAlain |
| Collana | Digital signal and image processing series |
| Soggetto topico |
Coding theory
Error-correcting codes (Information theory) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-84766-2
9786610847662 0-470-61242-8 0-470-39455-2 1-84704-574-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Channel Coding in Communication Networks; Table of Contents; Homage to Alain Glavieux; Chapter 1. Information Theory; 1.1. Introduction: the Shannon paradigm; 1.2. Principal coding functions; 1.2.1. Source coding; 1.2.2. Channel coding; 1.2.3. Cryptography; 1.2.4. Standardization of the Shannon diagram blocks; 1.2.5. Fundamental theorems; 1.3. Quantitative measurement of information; 1.3.1. Principle; 1.3.2. Measurement of self-information; 1.3.3. Entropy of a source; 1.3.4. Mutual information measure; 1.3.5. Channel capacity; 1.3.6. Comments on the measurement of information
1.4. Source coding1.4.1. Introduction; 1.4.2. Decodability, Kraft-McMillan inequality; 1.4.3. Demonstration of the fundamental theorem; 1.4.4. Outline of optimal algorithms of source coding; 1.5. Channel coding; 1.5.1. Introduction and statement of the fundamental theorem; 1.5.2. General comments; 1.5.3. Need for redundancy; 1.5.4. Example of the binary symmetric channel; 1.5.4.1. Hamming's metric; 1.5.4.2. Decoding with minimal Hamming distance; 1.5.4.3. Random coding; 1.5.4.4. Gilbert-Varshamov bound; 1.5.5. A geometrical interpretation; 1.5.6. Fundamental theorem: Gallager's proof 1.5.6.1. Upper bound of the probability of error1.5.6.2. Use of random coding; 1.5.6.3. Form of exponential limits; 1.6. Channels with continuous noise; 1.6.1. Introduction; 1.6.2. A reference model in physical reality: the channel with Gaussian additive noise; 1.6.3. Communication via a channel with additive white Gaussian noise; 1.6.3.1. Use of a finite alphabet, modulation; 1.6.3.2. Demodulation, decision margin; 1.6.4. Channel with fadings; 1.7. Information theory and channel coding; 1.8. Bibliography; Chapter 2. Block Codes; 2.1. Unstructured codes 2.1.1. The fundamental question of message redundancy2.1.2. Unstructured codes; 2.1.2.1. Code parameters; 2.1.2.2. Code, coding and decoding; 2.1.2.3. Bounds of code parameters; 2.2. Linear codes; 2.2.1. Introduction; 2.2.2. Properties of linear codes; 2.2.2.1. Minimum distance and minimum weight of a code; 2.2.2.2. Linear code base, coding; 2.2.2.3. Singleton bound; 2.2.3. Dual code; 2.2.3.1. Reminders of the Gaussian method; 2.2.3.2. Lateral classes of a linear code C; 2.2.3.3. Syndromes; 2.2.3.4. Decoding and syndromes; 2.2.3.5. Lateral classes, syndromes and decoding 2.2.3.6. Parity check matrix and minimum code weight2.2.3.7. Minimum distance of C and matrix H; 2.2.4. Some linear codes; 2.2.5. Decoding of linear codes; 2.3. Finite fields; 2.3.1. Basic concepts; 2.3.2. Polynomial modulo calculations: quotient ring; 2.3.3. Irreducible polynomial modulo calculations: finite field; 2.3.4. Order and the opposite of an element of F2[X]/(p(X)); 2.3.4.1. Order; 2.3.4.2. Properties of the order; 2.3.4.3. Primitive elements; 2.3.4.4. Use of the primitives; 2.3.4.5. How to find a primitive; 2.3.4.6. Exponentiation; 2.3.5. Minimum polynomials 2.3.6. The field of nth roots of unity |
| Record Nr. | UNINA-9910143313603321 |
| London ; ; Newport Beach, CA, : ISTE, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Channel coding in communication networks [[electronic resource] ] : from theory to turbocodes / / edited by Alain Glavieux
| Channel coding in communication networks [[electronic resource] ] : from theory to turbocodes / / edited by Alain Glavieux |
| Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE, 2007 |
| Descrizione fisica | 1 online resource (438 p.) |
| Disciplina |
003.54
003/.54 621.3821 |
| Altri autori (Persone) | GlavieuxAlain |
| Collana | Digital signal and image processing series |
| Soggetto topico |
Coding theory
Error-correcting codes (Information theory) |
| ISBN |
1-280-84766-2
9786610847662 0-470-61242-8 0-470-39455-2 1-84704-574-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Channel Coding in Communication Networks; Table of Contents; Homage to Alain Glavieux; Chapter 1. Information Theory; 1.1. Introduction: the Shannon paradigm; 1.2. Principal coding functions; 1.2.1. Source coding; 1.2.2. Channel coding; 1.2.3. Cryptography; 1.2.4. Standardization of the Shannon diagram blocks; 1.2.5. Fundamental theorems; 1.3. Quantitative measurement of information; 1.3.1. Principle; 1.3.2. Measurement of self-information; 1.3.3. Entropy of a source; 1.3.4. Mutual information measure; 1.3.5. Channel capacity; 1.3.6. Comments on the measurement of information
1.4. Source coding1.4.1. Introduction; 1.4.2. Decodability, Kraft-McMillan inequality; 1.4.3. Demonstration of the fundamental theorem; 1.4.4. Outline of optimal algorithms of source coding; 1.5. Channel coding; 1.5.1. Introduction and statement of the fundamental theorem; 1.5.2. General comments; 1.5.3. Need for redundancy; 1.5.4. Example of the binary symmetric channel; 1.5.4.1. Hamming's metric; 1.5.4.2. Decoding with minimal Hamming distance; 1.5.4.3. Random coding; 1.5.4.4. Gilbert-Varshamov bound; 1.5.5. A geometrical interpretation; 1.5.6. Fundamental theorem: Gallager's proof 1.5.6.1. Upper bound of the probability of error1.5.6.2. Use of random coding; 1.5.6.3. Form of exponential limits; 1.6. Channels with continuous noise; 1.6.1. Introduction; 1.6.2. A reference model in physical reality: the channel with Gaussian additive noise; 1.6.3. Communication via a channel with additive white Gaussian noise; 1.6.3.1. Use of a finite alphabet, modulation; 1.6.3.2. Demodulation, decision margin; 1.6.4. Channel with fadings; 1.7. Information theory and channel coding; 1.8. Bibliography; Chapter 2. Block Codes; 2.1. Unstructured codes 2.1.1. The fundamental question of message redundancy2.1.2. Unstructured codes; 2.1.2.1. Code parameters; 2.1.2.2. Code, coding and decoding; 2.1.2.3. Bounds of code parameters; 2.2. Linear codes; 2.2.1. Introduction; 2.2.2. Properties of linear codes; 2.2.2.1. Minimum distance and minimum weight of a code; 2.2.2.2. Linear code base, coding; 2.2.2.3. Singleton bound; 2.2.3. Dual code; 2.2.3.1. Reminders of the Gaussian method; 2.2.3.2. Lateral classes of a linear code C; 2.2.3.3. Syndromes; 2.2.3.4. Decoding and syndromes; 2.2.3.5. Lateral classes, syndromes and decoding 2.2.3.6. Parity check matrix and minimum code weight2.2.3.7. Minimum distance of C and matrix H; 2.2.4. Some linear codes; 2.2.5. Decoding of linear codes; 2.3. Finite fields; 2.3.1. Basic concepts; 2.3.2. Polynomial modulo calculations: quotient ring; 2.3.3. Irreducible polynomial modulo calculations: finite field; 2.3.4. Order and the opposite of an element of F2[X]/(p(X)); 2.3.4.1. Order; 2.3.4.2. Properties of the order; 2.3.4.3. Primitive elements; 2.3.4.4. Use of the primitives; 2.3.4.5. How to find a primitive; 2.3.4.6. Exponentiation; 2.3.5. Minimum polynomials 2.3.6. The field of nth roots of unity |
| Record Nr. | UNISA-996217139803316 |
| London ; ; Newport Beach, CA, : ISTE, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Channel coding in communication networks [[electronic resource] ] : from theory to turbocodes / / edited by Alain Glavieux
| Channel coding in communication networks [[electronic resource] ] : from theory to turbocodes / / edited by Alain Glavieux |
| Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE, 2007 |
| Descrizione fisica | 1 online resource (438 p.) |
| Disciplina |
003.54
003/.54 621.3821 |
| Altri autori (Persone) | GlavieuxAlain |
| Collana | Digital signal and image processing series |
| Soggetto topico |
Coding theory
Error-correcting codes (Information theory) |
| ISBN |
1-280-84766-2
9786610847662 0-470-61242-8 0-470-39455-2 1-84704-574-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Channel Coding in Communication Networks; Table of Contents; Homage to Alain Glavieux; Chapter 1. Information Theory; 1.1. Introduction: the Shannon paradigm; 1.2. Principal coding functions; 1.2.1. Source coding; 1.2.2. Channel coding; 1.2.3. Cryptography; 1.2.4. Standardization of the Shannon diagram blocks; 1.2.5. Fundamental theorems; 1.3. Quantitative measurement of information; 1.3.1. Principle; 1.3.2. Measurement of self-information; 1.3.3. Entropy of a source; 1.3.4. Mutual information measure; 1.3.5. Channel capacity; 1.3.6. Comments on the measurement of information
1.4. Source coding1.4.1. Introduction; 1.4.2. Decodability, Kraft-McMillan inequality; 1.4.3. Demonstration of the fundamental theorem; 1.4.4. Outline of optimal algorithms of source coding; 1.5. Channel coding; 1.5.1. Introduction and statement of the fundamental theorem; 1.5.2. General comments; 1.5.3. Need for redundancy; 1.5.4. Example of the binary symmetric channel; 1.5.4.1. Hamming's metric; 1.5.4.2. Decoding with minimal Hamming distance; 1.5.4.3. Random coding; 1.5.4.4. Gilbert-Varshamov bound; 1.5.5. A geometrical interpretation; 1.5.6. Fundamental theorem: Gallager's proof 1.5.6.1. Upper bound of the probability of error1.5.6.2. Use of random coding; 1.5.6.3. Form of exponential limits; 1.6. Channels with continuous noise; 1.6.1. Introduction; 1.6.2. A reference model in physical reality: the channel with Gaussian additive noise; 1.6.3. Communication via a channel with additive white Gaussian noise; 1.6.3.1. Use of a finite alphabet, modulation; 1.6.3.2. Demodulation, decision margin; 1.6.4. Channel with fadings; 1.7. Information theory and channel coding; 1.8. Bibliography; Chapter 2. Block Codes; 2.1. Unstructured codes 2.1.1. The fundamental question of message redundancy2.1.2. Unstructured codes; 2.1.2.1. Code parameters; 2.1.2.2. Code, coding and decoding; 2.1.2.3. Bounds of code parameters; 2.2. Linear codes; 2.2.1. Introduction; 2.2.2. Properties of linear codes; 2.2.2.1. Minimum distance and minimum weight of a code; 2.2.2.2. Linear code base, coding; 2.2.2.3. Singleton bound; 2.2.3. Dual code; 2.2.3.1. Reminders of the Gaussian method; 2.2.3.2. Lateral classes of a linear code C; 2.2.3.3. Syndromes; 2.2.3.4. Decoding and syndromes; 2.2.3.5. Lateral classes, syndromes and decoding 2.2.3.6. Parity check matrix and minimum code weight2.2.3.7. Minimum distance of C and matrix H; 2.2.4. Some linear codes; 2.2.5. Decoding of linear codes; 2.3. Finite fields; 2.3.1. Basic concepts; 2.3.2. Polynomial modulo calculations: quotient ring; 2.3.3. Irreducible polynomial modulo calculations: finite field; 2.3.4. Order and the opposite of an element of F2[X]/(p(X)); 2.3.4.1. Order; 2.3.4.2. Properties of the order; 2.3.4.3. Primitive elements; 2.3.4.4. Use of the primitives; 2.3.4.5. How to find a primitive; 2.3.4.6. Exponentiation; 2.3.5. Minimum polynomials 2.3.6. The field of nth roots of unity |
| Record Nr. | UNINA-9910830822403321 |
| London ; ; Newport Beach, CA, : ISTE, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive Computing and Cyber Physical Systems : 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part II / / edited by Prakash Pareek, Sumita Mishra, Manuel J. C. S. Reis, Nishu Gupta
| Cognitive Computing and Cyber Physical Systems : 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part II / / edited by Prakash Pareek, Sumita Mishra, Manuel J. C. S. Reis, Nishu Gupta |
| Autore | Pareek Prakash |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (442 pages) |
| Disciplina |
621.3821
004.6 |
| Altri autori (Persone) |
MishraSumita
ReisManuel J. C. S GuptaNishu |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer networks
Artificial intelligence Application software Computers, Special purpose Computer Networks Artificial Intelligence Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN |
9783031770784
3031770781 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cyber Physical Systems and Blockchain -- Securing the Resource sharing in Meta Universities through Blockchain Technology -- Cyber Physical Systems Design Standards, Applications, Limitations, Challenges, and Future Perspectives -- A Secured Data Sharing Using Proxy Re Encryption And Blockchain In Cloud Storage -- Artificial Intelligence Cyber Physical System Platform for Industry 4.0 -- Detecting Crypto Ransomware in Encrypted File Sharing Networks -- A Secure and Efficient Cloud Storage System Using Advanced Encryption Standard Algorithm for Data Protection -- Speech Bandwidth Extension using Spectral Data Masking -- Crime Detection with Variational Auto encoders -- Cross Layered Neighbor Route Discovery Protocol in Cognitive Radio Networks -- Quantum Technology Fueling the Next Generation Optical Communication Challenges and Pathways -- Comprehensive Analysis of Underwater Acoustic Propagation in Shallow and Deep Water -- Exploring Underwater Acoustic Propagation Based on Deep Sound Channel -- FPGA Based Peak Cancellation for Efficient Communication Transmitters -- FPGA Implementation of Fast Fourier Transform using hybrid pipelining technique -- Low Power Adder Circuit Design and Implementation using Lector Technique -- FPGA Implementation of Optimized Floating Point Multiplier using Minimal Error Logarithmic Approach -- Medical Diagnostic through Deep Learning and Assistive Technology -- Review of Various Machine Learning Approaches for Parkinsons Disease Detection -- Improving Pneumonia Diagnosis via Deep Learning A Comprehensive Approach Incorporating CNN Classification -- Advancing Ocular Health Deep Learning Technologies in Eye Disease Classification -- An Empirical Comparison of Machine and Deep Learning Algorithms for Predicting Maternal Health Risk -- An AI Powered Diagnostic Model for the Identification and Categorization of Lung and Liver Cancer -- Detection of Autism Spectrum Disorder Using Optimized Extreme Learning Machine Technique -- AI based Bone Cancer Detection using Image Preprocessing and CNN -- Liver Tumour Detection in Computed Tomography Images through Image Processing and Deep Learning -- AI Enhanced Arduino Based Customized Smart Glasses for Blind People and Integrated, Speech Synthesis -- A Breathable 1.1 oz Ripstop Nylon (BRN) Based Wearable Dry ECG sensors A Pilot Study -- Assistive New Gen Smart Blind Stick Using React -- Auto encoders with Cellular Automata for Anomaly Detection. |
| Record Nr. | UNINA-9910983314503321 |
|
Pareek Prakash
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive Computing and Cyber Physical Systems : 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part-I / / edited by Prakash Pareek, Sumita Mishra, Manuel J. C. S. Reis, Nishu Gupta
| Cognitive Computing and Cyber Physical Systems : 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part-I / / edited by Prakash Pareek, Sumita Mishra, Manuel J. C. S. Reis, Nishu Gupta |
| Autore | Pareek Prakash |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (561 pages) |
| Disciplina |
621.3821
004.6 |
| Altri autori (Persone) |
MishraSumita
ReisManuel J. C. S GuptaNishu |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer networks
Artificial intelligence Application software Computers, Special purpose Computer Networks Artificial Intelligence Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN |
9783031770753
3031770757 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence and Machine Learning Applications -- Harnessing the Combined Power of Artificial Intelligence and Machine Learning for Diagnosis of Brain Tumor -- A Comparative Study between Support Vector Machine and Long Short Term Memory Models on Sentiment Analysis of Movie Reviews -- Comparative Analysis between Fuzzy Theorem and KNN Methodology for Fault and Anomaly Detection -- Production Classification in E Commerce Based on Product Descriptions with Natural Language Processing (NLP) and Machine Learning Models -- Defense Strategy Security Mechanism for Sensor Network -- An Efficient approach for Food Demand Forecasting using an Ensemble Technique and Statistical Analysis -- Identification of Different Medicinal Plants Using Machine Learning and Image Processing -- Leveraging the Power of MRMR in Machine Learning Models for Multi Class Classification of Rice to Promote Sustainable and Efficient Smart Farming -- Performance Analysis of Word Recognition System Using Tensor Flow -- A Distinct Artificial Feed Forward Neural Network (AF2NN) Model for Predicting Compressive Strength of Geo Polymer Concrete -- Performance Assessment of Deep learning-models for Kidney Tumor Segmentation using CT Images -- Investigation of Quantum Machine Learning for Smart Eco System Focusing on Energy Optimization -- Classification Of Skin Cancer using CNN with Transformer Layer -- A Unified Approach to Smart Coconut Farming with IoT and Deep Learning for recommendation of Pesticides and Fertilizers -- Classifying The Severity of Diabetic Retinopathy using Deep Learning -- Exploring Prominent Convolutional Neural Network Frameworks to Identify COVID 19 deceases by Using Medical Images -- Non-Invasive Technique for Detecting Glycosuria Through Image Processing and Deep Learning Approaches -- Deep Learning Strategies for Multiclass Skin Disease Classification -- AI driven Glaucoma Susceptibility Assessment and Lifestyle Guidance -- Deep Learning in Cartoon Moderation Distinguishing Child Friendly Content with CNN Architectures -- Comparative Analysis of Mice Protein Expression Data Assessing Genotype and Behavioral Treatments Using Machine Learning Algorithms -- An Efficient Sentiment Classification Model using Fusion of BERT and Deep Learning RNN Variants -- InnovativeTunes Utilizing Machine Learning for Predicting Spotify Music Popularity Based on Audio Features -- AquaMap Empowering Communities to Report and Map Water Related Issues in Real Time with Deep Learning -- A Comprehensive Analysis of Machine Learning and Deep Learning based Product Recommendation System -- Deep Learning based hazard evaluation for resource network setting up via Horizontal Directional Drilling -- Ensemble Fusion for Enhanced Malicious URL Detection by Integrating Machine Learning and Deep Learning Techniques -- Assessment of the Decay of Monuments Using Deep Learning and CNN -- RF and Microwave Technology -- A Wideband Metamaterial Perfect Absorber for Terahertz Applications -- Defective Ground Structure Based Dual Port MIMO Antenna Configuration for Future Generation Communication Networks -- Miniatured Triple band Two Element Monopole MIMO Antenna for 5G N38, N77 and N79 Band Communications -- Comparative Analysis of RL based Resource Allocation Methods for Optimization in 5G MMWave Network -- Design and Modeling of Frequency Reconfigurable Microstrip Patch by Using Bow Tie Geometry -- Exploring 6G Wireless Networks Millimeter Wave Revolution and Mixed Carrier Communication for Enhanced Spectrum Efficiency -- Short Range Visible Light communication LED based Indoor Applications. |
| Record Nr. | UNINA-9910983356803321 |
|
Pareek Prakash
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive Computing and Cyber Physical Systems : 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part III / / edited by Prakash Pareek, Sumita Mishra, Manuel J. C. S. Reis, Nishu Gupta
| Cognitive Computing and Cyber Physical Systems : 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part III / / edited by Prakash Pareek, Sumita Mishra, Manuel J. C. S. Reis, Nishu Gupta |
| Autore | Pareek Prakash |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (618 pages) |
| Disciplina |
621.3821
004.6 |
| Altri autori (Persone) |
MishraSumita
ReisManuel J. C. S GuptaNishu |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer networks
Artificial intelligence Application software Computers, Special purpose Computer Networks Artificial Intelligence Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN |
9783031770814
3031770811 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Natural Language Processing using Artificial Intelligence and Machine Learning -- A review of usage of Tesseract OCR engine with vernacular Indian languages -- A Hybrid Sentiment and Emotion Analysis Model for Marathi Text using Horse Herd Optimization, Bidirectional RNN, and Affective Cognitive Computing -- Dynamic E commerce Website with NLP Chatbot -- Fake News Detection using ML Algorithms -- Hate Speech Detection using Recurrent Neural Networks (RNN) -- Multi-Model Summarization On Extending T5 Transformer for Text, Audio, and Images -- Compression Strategies for Massive Natural Language Generation Models -- Optimal Flight Ticket Price Discovery using Time Series Analysis SARIMAX Model -- Addressing Geographical Disparities in Education An Integrated E Learning Approach for Empowering Students in Diverse Regions of India -- EduEvolve An Online Tutoring Tool -- Dynamic Detection of Wild Animals Utilizing FGVC8 Images -- Dynamic Emotion Adaptive Attention Mechanism (DEAAM) -- Optimizing Crop Health Evaluating CNN Performance in Plant Disease Detection -- Transforming Education through EduBridge The Impact of an Innovative E Learning Application on India’s Educational Landscape. Image and Signal Processing -- Performance Investigation on Panoramic Image Stitching Techniques -- A Comprehensive Security and Performance Analysis of Chaotic based Hybrid Image Encryption Algorithms -- Telecom Customer Churn Prediction Using Machine Learning -- An Intelligent GUI Enhancements a Robust Model for Detecting Fake News -- Big Data Analytics -- A Customized YOLO NAS Model for Vehicle Detection on Indian Roads -- Disease Based Eligibility Assessment for Health Insurance -- Generative Adversarial Networks (GANs) for drug discovery -- Exploring Tongue Print as a Biometric Authentication Feature A Promising Avenue -- VLSI Circuits and Computing -- High Performance 10T SRAM Based Decoder for 4x4 Array -- An Energy Efficient 8 Tap FIR Filter Design in 22NM DTMOS TECHNOLOGY -- Performance Comparison of 4T SRAM Cell Using Different Techniques are 32nm and 22nm Nodes for Portable Electronic Devices -- Design and Implementation of Parallel Prefix based 16-bit Kogge Stone Adder for High Speed Binary Addition -- Internet of Things and its Applications -- Real time air quality Index monitoring and prediction Using Lora communication -- Development of IOT Multilingual Voice Controlled Home Automation System -- Congestion based adaptive association mechanism for IEEE 802.11ah based large IoT network -- IADSS Integrated Agricultural Decision Support System -- Automated Assessment of Artefact Relevance Using Artefact Metadata and Correlated Timeline Events -- The Effect of Artificial Intelligence on Data Security Systems -- Cost Effective Wireless Health Monitoring with ARDUINO for Physiological Parameters -- Effective way to communicate with Divyangjan Using Morse Code -- Complex Network Articulation Points Detection and Centrality Measures -- Identifying Bikers without Helmets and Triple Riding Automatically -- Voice Based Smart System for Emotion Recognition and Regulation -- Design of Autonomous Lagori Game Playing Robotics -- Neurovision Advanced DL for Eye Disorder Detection. |
| Record Nr. | UNINA-9910983483303321 |
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Pareek Prakash
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cognitive Computing and Cyber Physical Systems : 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part I / / edited by Prakash Pareek, Nishu Gupta, M. J. C. S. Reis
| Cognitive Computing and Cyber Physical Systems : 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part I / / edited by Prakash Pareek, Nishu Gupta, M. J. C. S. Reis |
| Autore | Pareek Prakash |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (490 pages) |
| Disciplina |
621.3821
004.6 |
| Altri autori (Persone) |
GuptaNishu
ReisM. J. C. S |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer networks
Artificial intelligence Application software Computer systems Computers, Special purpose Computer Networks Artificial Intelligence Computer and Information Systems Applications Computer System Implementation Special Purpose and Application-Based Systems |
| ISBN |
9783031488887
3031488881 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine Learning and Its Applications -- Schizophrenia Identification through Deep Learning on Spectrogram Images -- An Optimized Ensemble Machine Learning Framework for Multi-Class Classification of Date Fruits by Integrating Feature Selection Techniques -- Harmonizing Insights: Python-based Data Analysis of Spotify’s Musical Tapestry -- Comparative Study of Predicting Stock Index Using Deep Learning Models -- Enhancing Heart Disease Prediction through a Heterogeneous Ensemble DL Models -- IoT-based pesticide detection in fruits and vegetables using Hyperspectral Imaging and deep learning -- STATISTICAL ANALYSIS OF HEMATOLOGICAL PARAMETERS FOR PREDICTION OF SICKLE CELL DISEASE -- Optimized Route Planning and Precise Circle Detection in Unmanned Aerial Vehicle with Machine Learning -- DRL based multi-objective resource optimization technique in a multi-cloud environment -- Aspect Level Sentiment Analysis to extract valuable insight for Airline’s customer Feedback and Reviews -- Drug Recommendations Using A Reviews And Sentiment Analysis By RNN -- Optimizing Real Estate Prediction - A Comparative Analysis of Ensemble and Regression Models -- ESTIMATION OF POWER CONSUMPTION PREDICTION OF ELECTRICITY USING MACHINE LEARNING -- Medical Plants Identification using Leaves Based on Convolutional Neural Networks -- An Efficient Real-time NIDS using Machine-learning methods -- Maixdock Based Driver Drowsiness Detection System Using CNN -- A Novel Approach to Visualize Arrhythmia Classification Using 1D CNN -- Exploring Machine Learning Models for Solar Energy Output Forecasting -- The survival analysis of mental fatigue utilizing the estimator of Kaplan-Meier and Nelson-Aalen -- Cyber Security and Signal Processing -- EEMS - EXAMINING THE ENVIRONMENT OF THE JOB METAVERSE SCHEDULING FOR DATA SECURITY -- Text Analysis Based Human Resource Productivity Profiling -- A novel technique for analyzing the sentiment of social media posts using deep learning techniques -- Comparative Analysis of Pretrained Models for Speech Enhancement in Noisy Environments -- Use of Generative Adversarial Network (GAN) under insufficient data -- Unraveling the Techniques for Speaker Diarization -- LUT-Based Area-Optimized Accurate Multiplier Design for signal processing applications -- Speaker Recognition using Convolutional Autoencoder in Mismatch Condition with Small Dataset in noisy background -- Face Emotion Recognition based on images using the Haar-Cascade front end approach -- TextRank-based Keyword Extraction for Constructing a Domain-Specific Dictionary -- Creating a Protected Virtual Learning Space: A Comprehensive Strategy for Security and User Experience in Online Education -- LIGHTWEIGHT CRYPTOGRAPHY MODEL FOR OVERHEAD AND DELAY REDUCTION IN THE NETWORK -- Modelling the Data Object Routing in Data Aware Networking -- Image Processing -- Glaucoma Stage Classification using Image empirical mode decomposition (IEMD) and Deep Learning from Fundus Images -- Implementation and Performance Evaluation of Asymmetrical Encryption scheme for Lossless Compressed Grayscale Images -- Optimization of Single Image Dehazing based on Stationary Wavelet Transform -- A Chest X-Ray Image Based Model for Classification and Detection of Diseases -- Enlighten GAN for super resolution images from survelillance car -- Brain Tumor Classification through MR Imaging: A Comparative Analysis -- An Efficient Denoising of Medical Images Through Convolutional Neural Network. |
| Record Nr. | UNINA-9910799213503321 |
|
Pareek Prakash
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive Computing and Cyber Physical Systems : 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II / / edited by Prakash Pareek, Nishu Gupta, M. J. C. S. Reis
| Cognitive Computing and Cyber Physical Systems : 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part II / / edited by Prakash Pareek, Nishu Gupta, M. J. C. S. Reis |
| Autore | Pareek Prakash |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (394 pages) |
| Disciplina |
621.3821
004.6 |
| Altri autori (Persone) |
GuptaNishu
ReisM. J. C. S |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer networks
Artificial intelligence Application software Computers, Special purpose Computer Networks Artificial Intelligence Computer and Information Systems Applications Special Purpose and Application-Based Systems |
| ISBN |
9783031488917
3031488911 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Smart Power Systems -- Performance Evaluation of Off Grid Hybrid Distribution system with ANFIS controller -- Full Swing Logic Based Full Adder for Low Power Applications -- Single-phase Grid and Solar PV Integration with 15-level asymmetrical multilevel inverter -- A Review on Controlling charging process and discharging of Electric Vehicles in the Distribution Grid -- Area Efficient and Ultra Low Power Full Adder Design based on GDI Technique for Computing Systems -- Area Efficient and Ultra Low Power Full Adder Design based on GDI Technique for Computing Systems -- IOT-Based Hi-Tech Battery Charger for Modern EVs -- Comparative Analysis of PWM methods for Three Level Neutral Point Clamped Inverter -- Smart City Eco-system and Communications -- Single use Plastic Bottle recognition and classification using YOLO V5 and V8 architectures -- Model Predictive Controller (MPC) and Proportional Integral Derivative Control (PID) for Autonomous Lane Keeping Maneuvers: A Comparative Study of Their Efficacy and Stability -- Performance evaluation of DSR, AODV and MP-OLSR Routing Protocols using NS-2 Simulator in MANETs -- Efficient Fuel Delivery at Your Fingertips: Developing a Seamless On-Demand Fuel Delivery App with Flutter -- An IoT application based Decentralized Electronic Voting System Using Blockchain -- NeuroRobo: Bridging the Emotional Gap in Human-Robot Interaction with Facial Sentiment Analysis, Object Detection, and Behavior Prediction -- Equalization Based Soft Output Data Detection for Massive MU-MIMO-OFDM Using Coordinate Descent -- Performance Analysis of Hybrid BPSK-MPPM Modulated Multicore Fiber Interconnect System -- Performance Evaluation of Optical Links: With and Without Forward Error Correcting Codes -- Investigation of Highly Sensitive and Linearly Responsive SAW based Gas Sensor for Better N2 Detection -- Turnstile Diamond Dipole Nanoantenna based Smart City Compatible Thin Film Solar Cell -- Efficient Quality Factor Prediction of Artificial Neural Network Based IsOWC System -- Tunable UWB Metasurface Absorber for Smart City Compatible IoT Applications -- Optimal Time Splitting in Wireless Energy Harvesting-Enabled Sensor Networks -- Design and Parametric Study of Monopole Blade Antenna for UHF-Band Aerospace Applications -- Transmission Losses Due to Surface Reflections in Deep Water for Multipath Model -- Performance Evaluation of Multicast Routing Protocols in Mobile Ad Hoc Networks -- Analysis of Acoustic Channel Characteristics in Shallow Water Based on Multipath Model -- Development of Cost-Effective Water Quality Monitoring for Potable Drinking Water using IoT -- Smart IV Bag Monitoring System for Effective Monitoring of Patients -- Automatic Safety and Monitoring System using ESP8266 with cloud platform -- Comparison of Acoustic Channel Characteristics for Direct and Multipath Models in Shallow and Deep Water -- Clustering Based Hybrid Optimized Model for effective data transmission -- A Web-Based Vaccine Distribution System for Covid-19 using Vaxallot. |
| Record Nr. | UNINA-9910799218603321 |
|
Pareek Prakash
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||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive networks : towards self-aware networks / / edited by Qusay H. Mahmoud
| Cognitive networks : towards self-aware networks / / edited by Qusay H. Mahmoud |
| Autore | Mahmoud Qusay |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Chichester, England ; , : John Wiley & Sons Ltd., , c2007 |
| Descrizione fisica | 1 online resource (382 p.) |
| Disciplina |
621.3821
621.384 |
| Altri autori (Persone) | MahmoudQusay H. <1971-> |
| Soggetto topico |
Cognitive radio networks
Software radio Wireless communication systems Autonomic computing |
| ISBN |
1-281-03209-3
9786611032098 0-470-51514-7 0-470-51515-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contributors. -- Foreword 1. -- Foreword 2. -- Preface. -- Acknowledgements. -- Introduction. -- Chapter 1: Biologically Inspired Networking. -- Chapter 2: The Role of Autonomic Networking in Cognitive Networks. -- Chapter 3: Adaptive Networks. -- Chapter 4: Self-Managing Networks. -- Chapter 5: Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges. -- Chapter 6: Cross-Layer Design and Optimization in Wireless Networks. -- Chapter 7: Cognitive Radio Architecture. -- Chapter 8: The Wisdom of Crowds: Cognitive Ad hoc Networks. -- Chapter 9: Distributed Learning and Reasoning in Cognitive Networks: Methods and Design Decisions. -- Chapter 10: The Semantic Side of Cognitive Radio. -- Chapter 11: Security Issues in Cognitive Radio Networks. -- Chapter 12: Intrusion Detection in Cognitive Networks. -- Chapter 13: Erasure Tolerant Coding for Cognitive Radios. -- Index. |
| Record Nr. | UNINA-9910144583803321 |
|
Mahmoud Qusay
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||
| Chichester, England ; , : John Wiley & Sons Ltd., , c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
