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Advances in swarm intelligence : variations and adaptations for optimization problems / / Anupam Biswas, Can B. Kalayci, and Seyedali Mirjalili
| Advances in swarm intelligence : variations and adaptations for optimization problems / / Anupam Biswas, Can B. Kalayci, and Seyedali Mirjalili |
| Autore | Biswas Anupam |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (416 pages) |
| Disciplina | 006.3824 |
| Collana | Studies in Computational Intelligencea |
| Soggetto topico |
Swarm intelligence
Swarm intelligence - Social aspects |
| ISBN | 3-031-09835-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- State-of-the-Art -- A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-Heuristics, and Swarm Intelligence -- 1 Optimization Problems -- 2 Optimization Algorithms -- 2.1 Derivative Dependent Algorithms -- 2.2 Derivative Free Algorithms -- 3 Meta-Heuristics -- 4 Swarm Intelligence Algorithms -- References -- Introductory Review of Swarm Intelligence Techniques -- 1 Introduction -- 2 Generic Framework of Swarm Intelligence Techniques -- 3 Evolution of Swarm Intelligence Techniques -- 4 Prominent Swarm Intelligence Algorithms -- 4.1 Particle Swarm Optimization -- 4.2 Firefly Algorithm -- 4.3 Bacteria Colony Algorithm -- 4.4 Crow Search Algorithm -- 4.5 Grey Wolf Optimization -- 4.6 Sperm Whale Algorithm -- 5 Applications of SI Techniques -- 6 Discussions and Conclusion -- References -- Swarm Intelligence for Deep Learning: Concepts, Challenges and Recent Trends -- 1 Introduction -- 2 Swarm Intelligence Algorithms: An Overview -- 3 Deep Learning: An Overview -- 4 Swarm Intelligence with Deep Learning -- 4.1 Neuroevolution -- 4.2 Other Popular Deep Frameworks with SI -- 5 Challenges and Future of Intelligent Deep Learning -- 6 Conclusion -- References -- Advances on Particle Swarm Optimization in Solving Discrete Optimization Problems -- 1 Introduction -- 2 Particle Swarm Optimization (PSO) -- 3 Knapsack Problem (KP) and Solution Using PSO -- 3.1 KP Basics and Constraints -- 3.2 Solution of KP Using PSO -- 4 Traveling Salesman Problem (TSP) and Solution Using PSO -- 4.1 TSP Basics and Constrains -- 4.2 Solution of TSP Using PSO -- 5 Vehicle Routing Problem (VRP) and Solution Using PSO -- 5.1 CVRP Basics and Constrains -- 5.2 Solution of CVRP Using PSO -- 6 University Course Scheduling Problem (UCSP) and Solution Using PSO -- 6.1 UCSP Basics and Constraints -- 6.2 Solution of UCSP Using PSO.
7 Conclusions -- References -- Performance Analysis of Hybrid Memory Based Dragonfly Algorithm in Engineering Problems -- 1 Introduction -- 2 Mathematical Interpretation of DADE -- 3 Performance Evaluation -- 3.1 Experimental Results -- 3.2 Analysis of DADE -- 3.3 Statistical Analysis -- 4 Convergence Analysis -- 5 Conclusion -- References -- Engineering Problems -- Optimum Design and Tuning Applications in Structural Engineering via Swarm Intelligence -- 1 Introduction -- 2 Review on Design Optimization via Swarm Intelligence and Metaheuristic Algorithm -- 2.1 Optimization of Truss Structures -- 2.2 Reinforced Concrete Members -- 2.3 Frame Structures -- 3 Review on Tuning Optimization of Structural Control Systems Via Swarm Intelligence and Metaheuristic Algorithms -- 3.1 Passive Tuned Mass Dampers (TMD) -- 3.2 Active Tuned Mass Dampers (TMD) -- 4 Application Results of Several Problems -- 4.1 Optimum Design of Retaining Walls -- 4.2 Span Optimization of Frame Structures -- 4.3 Optimum Design of Passive and Active Mass Dampers -- 5 Conclusion -- References -- Bee Colony Optimization with Applications in Transportation Engineering -- 1 Introduction -- 2 Bee Colony Optimization -- 2.1 Constructive Version of the Algorithm (BCOc) -- 2.2 Improvement Version of the Algorithm (BCOi) -- 3 Review of BCO Applications in Transportation Engineering -- 4 Conclusions -- References -- Application of Swarm Based Approaches for Elastic Modulus Prediction of Recycled Aggregate Concrete -- 1 Introduction -- 2 Data Collection -- 3 Artificial Neural Network -- 4 Elephant Herding Optimization -- 5 Hybrid of ANN and EHO -- 6 Results and Discussions -- 6.1 Performance of Artificial Neural Network -- 6.2 Performance of Artificial Neural Network-Elephant Herding Optimization -- 7 Conclusions -- References. Grey Wolf Optimizer, Whale Optimization Algorithm, and Moth Flame Optimization for Optimizing Photonics Crystals -- 1 Introduction -- 2 Photonic Crystal Waveguide and the Optimization Problem Targeted in This Work -- 3 Swarm Intelligence Algorithm -- 4 Results -- 5 Conclusion -- References -- Intelligent and Reliable Cognitive 5G Networks Using Whale Optimization Techniques -- 1 Introduction -- 2 Challenges in 5G -- 3 Cognitive Radio -- 4 Low-Density Parity-Check (LDPC) in 5G Channel -- 5 Proposed Approach: Integration of CR, LDPC in 5G with Whale Optimization Algorithm -- 5.1 Whale Optimization Technique -- 6 Results and Discussion -- 7 Conclusion -- References -- Machine Learning -- Automatic Data Clustering Using Farmland Fertility Metaheuristic Algorithm -- 1 Introduction -- 2 Related Works -- 3 Farmland Fertility Algorithm -- 4 Proposed Method -- 5 Result and Discussion -- 6 Conclusion and Future Works -- References -- A Comprehensive Review of the Firefly Algorithms for Data Clustering -- 1 Introduction -- 2 Contribution of the FA for Data Clustering -- 2.1 Use of Different Variants of FA Without Hybridization -- 2.2 FA Combined with K-Means Algorithm -- 2.3 FA Combined with Evolutionary Computing Algorithms -- 2.4 FA Combined with the Particle Swarm Optimization Algorithm -- 2.5 FA Combined with Fuzzy C-Means Algorithm -- 2.6 FA Combined with Density Peaks Clustering Algorithms -- 2.7 FA Combined with Markov Clustering Algorithms -- 3 Representations, Initialization of Fireflies and Cluster Validation Measures Used by the FA Based Methods for Data Clustering -- 3.1 Definition of Individuals (Representations) -- 3.2 Initializations -- 3.3 Performance Measures -- 4 Possible Further Enhancements to FA Based Clustering Algorithms -- 5 Conclusion -- References. A Hybrid African Vulture Optimization Algorithm and Harmony Search: Algorithm and Application in Clustering -- 1 Introduction -- 2 Related Work -- 3 Background Knowledge -- 3.1 Data Clustering Problem -- 3.2 African Vulture Optimization Algorithm -- 3.3 Harmony Search Algorithm -- 4 AVOAHS Algorithm -- 5 Result and Discussion -- 6 Conclusion and Future Work -- References -- Estimation Models for Optimum Design of Structural Engineering Problems via Swarm-Intelligence Based Algorithms and Artificial Neural Networks -- 1 Introduction -- 2 Artificial Neural Networks (ANNs) -- 3 Applications via ANNs -- 4 Numerical Results -- 5 Results and Conclusion -- References -- A Novel Codebook Generation by Lévy Flight Based Firefly Algorithm -- 1 Introduction -- 2 Codebook Generation Algorithms -- 2.1 Vector Quantization and LBG Algorithm -- 2.2 PSO Algorithm -- 2.3 Fruit Fly Algorithm -- 2.4 Firefly Algorithm -- 3 Lévy Flight Based Firefly Algorithm for Codebook Generation -- 4 Parameters -- 5 Simulations and Results -- 6 Conclusion -- References -- Novel Chaotic Best Firefly Algorithm: COVID-19 Fake News Detection Application -- 1 Introduction -- 2 Background -- 2.1 Feature Selection -- 2.2 Metaheuristic Algorithms -- 3 Proposed Method -- 3.1 The Firefly Algorithm -- 3.2 Drawbacks of the FA -- 3.3 Proposed Chaotic-Based FA Metaheuristics -- 4 Experimental Setup -- 4.1 Dataset Collection -- 4.2 Data Preprocessing and Feature Extraction -- 4.3 Feature Selection -- 4.4 Model Development -- 4.5 Evaluation and Assessment -- 5 Results and Discussion -- 6 Conclusion -- References -- Other Applications -- Artificial Bee Colony and Genetic Algorithms for Parameters Estimation of Weibull Distribution -- 1 Introduction -- 2 Weibull Distribution -- 2.1 Maximum Likelihood Inference -- 2.2 Moment Inference -- 2.3 Proposed Functions -- 3 Swarm Intelligence Methods. 3.1 Artificial Bee Colony -- 3.2 Genetic Algorithms -- 4 Simulation Study -- 4.1 Swarm Parameter Settings -- 4.2 Evaluation Criteria -- 4.3 Computational Implementation -- 4.4 Simulation Results -- 4.5 Real Data Example -- 5 Conclusion -- References -- Graph Structure Optimization for Agent Control Problems Using ACO -- 1 Introduction -- 2 Previous Works -- 3 Proposed Method -- 3.1 GNP Algorithm -- 3.2 Ant Colony Network Programming -- 4 Experimental Results -- 4.1 Pursuit Domain -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- References -- A Bumble Bees Mating Optimization Algorithm for the Discrete and Dynamic Berth Allocation Problem -- 1 Introduction -- 2 Berth Allocation Problem -- 3 Bumble Bees Mating Optimization -- 4 Bumble Bees Mating Optimization for the Discrete and Dynamic Berth Allocation Problem -- 5 Computational Results -- 5.1 Overall Results -- 6 Conclusions -- References -- Applying the Population-Based Ant Colony Optimization to the Dynamic Vehicle Routing Problem -- 1 Introduction -- 2 Dynamic Vehicle Routing Problem -- 2.1 Problem Formulation -- 2.2 Generating Dynamic Test Cases -- 3 Population-based Ant Colony Optimization -- 3.1 Constructing Solutions -- 3.2 Updating Population-List -- 3.3 Updating Pheromone Trails -- 3.4 Responding to Dynamic Changes -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Comparison of P-ACO+H Against ACO+H -- 4.3 Comparison of P-ACO+H Against Other P-ACO Algorithms -- 5 Conclusions -- References -- An Improved Cuckoo Search Algorithm for the Capacitated Green Vehicle Routing Problem -- 1 Introduction -- 2 Literature Review -- 3 Material and Method -- 3.1 A Classical Green VRP Model -- 3.2 Solution Method -- 3.3 The VLCS Algorithm -- 4 Experimental Study -- 5 Conclusion and Future Research -- References -- Multi-Objective Artificial Hummingbird Algorithm -- 1 Introduction. 2 Artificial Hummingbird Algorithm (AHA). |
| Record Nr. | UNINA-9910627249103321 |
Biswas Anupam
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| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary data clustering : algorithms and applications / / edited by Ibrahim Aljarah; Hossam Faris; Seyedali Mirjalili
| Evolutionary data clustering : algorithms and applications / / edited by Ibrahim Aljarah; Hossam Faris; Seyedali Mirjalili |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (253 pages) : illustrations |
| Disciplina | 518.1 |
| Collana | Algorithms for intelligent systems |
| Soggetto topico |
Algorithms
Computational intelligence Algorismes Computació evolutiva Anàlisi de conglomerats Optimització matemàtica Intel·ligència computacional |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-334-191-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483304803321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary Machine Learning Techniques [[electronic resource] ] : Algorithms and Applications / / edited by Seyedali Mirjalili, Hossam Faris, Ibrahim Aljarah
| Evolutionary Machine Learning Techniques [[electronic resource] ] : Algorithms and Applications / / edited by Seyedali Mirjalili, Hossam Faris, Ibrahim Aljarah |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 006.31 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Neural networks (Computer science) Computational Intelligence Artificial Intelligence Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 981-329-990-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483998803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Future Research Directions in Computational Intelligence [[electronic resource] ] : Selected Papers from the 3rd EAI International Conference on Computational Intelligence and Communication / / edited by Manolo Dulva Hina, Seyedali Mirjalili, Amar Ramdane-Cherif, Rafik Zitouni
| Future Research Directions in Computational Intelligence [[electronic resource] ] : Selected Papers from the 3rd EAI International Conference on Computational Intelligence and Communication / / edited by Manolo Dulva Hina, Seyedali Mirjalili, Amar Ramdane-Cherif, Rafik Zitouni |
| Autore | Hina Manolo Dulva |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (123 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
MirjaliliSeyedali
Ramdane-CherifAmar ZitouniRafik |
| Collana | EAI/Springer Innovations in Communication and Computing |
| Soggetto topico |
Telecommunication
Computational intelligence Artificial intelligence Communications Engineering, Networks Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-34459-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Perception Enhancement of a Vehicle in a Bad Weather Environment -- Adaptive Backstepping-RBF Control of Lower Limb Exoskeleton -- Advances in Coyote Optimization Algorithm -- Efficient Big Data Architecture Based on Micro Service -- K Semantics for Security Policy Enforcement on Android Applications with Practical Cases -- On the Performance of MIMO Vehicular Visible Light Communications -- An Evaluation Framework for Blockchain-based Public Key Infrastructures -- Intelligent Target Cell Selection Algorithm for Low Latency 5G Networks -- Conclusion. |
| Record Nr. | UNINA-9910760271403321 |
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Hina Manolo Dulva
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent systems and applications : select proceedings of ICISA 2022 / / edited by Anand J. Kulkarni, Seyedali Mirjalili, and Siba Kumar Udgata
| Intelligent systems and applications : select proceedings of ICISA 2022 / / edited by Anand J. Kulkarni, Seyedali Mirjalili, and Siba Kumar Udgata |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (512 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Artificial intelligence |
| ISBN | 981-19-6581-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Intelligent Systems in Agriculture -- An Efficient Approach for Plant Leaf Species Identification Based on SVM and SMO and Performance Improvement -- 1 Introduction -- 2 Methodology -- 3 Spider Monkey Optimization Algorithm (SMO) -- 3.1 Population Initiation -- 3.2 Local Leader Phase (LLP) -- 3.3 Global Leader Phase (GLP) -- 4 Support Vector Machine -- 5 Simulation Results -- 6 Conclusion -- References -- Smart IoT-Based Pesticides Recommendation System for Rice Diseases -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Materials and Methodology -- 4 Results -- 4.1 Evaluation Metrics -- 4.2 Sensors Results and Readings -- 5 Conclusion -- References -- Classification of Tomato Leaf Diseases: A Comparison of Different Optimizers -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Optimization of Rainfall Intensities Classification Based on Artificial Intelligence Using Recurrent Neural Network -- 1 Introduction -- 1.1 Data and Methodology -- 1.2 MSG Data and Radar Data -- 1.3 Selection of Input Parameters -- 1.4 RNN Model -- 1.5 Choice of RNN Architecture -- 2 Application and Classification Results -- 2.1 Application to a Scene -- 2.2 Application to All Scenes -- 3 Conclusion -- References -- Tomato Plant Leaf Disease Detection Using Inception V3 -- 1 Introduction -- 2 Related Research -- 3 Workflow for Tomato Plant Disease Detection -- 3.1 Inception V3 -- 3.2 Dataset Description -- 3.3 Intermediate Results of Model Training -- 4 Conclusion -- References -- Astute Farm Monitoring Using WSN and AI-A Solution for Optimally Monitoring Environmental Conditions -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 Proposed System -- 3.2 Components Used in Proposed System -- 3.3 System Modules.
4 Result and Discussion -- 4.1 Dataset Description and Experimental Setup -- 4.2 Evaluation Metrics -- 4.3 Result Analysis -- 5 Conclusion -- References -- Intelligent Systems in Internet of Things and Cloud Computing -- A Comprehensive Literature Review of Artificial Intelligent Practices in the Field of Penetration Testing -- 1 Introduction -- 2 Existing Automated Penetration Testing Models -- 3 Results and Discussion -- 4 Future Directions -- 5 Conclusions -- References -- IoT-Cloud-Enabled Smart Framework for Real-World Applications -- 1 Introduction -- 1.1 Motivation for the Proposed Framework -- 2 Related Work -- 3 Proposed IoT-Cloud-Enabled Smart Framework for Real-World Applications -- 3.1 Sensor Connectivity and Network Phase -- 3.2 Gateway and Network Phase -- 3.3 Cloud Computing Phase -- 3.4 IoT-Cloud Applications Phase -- 4 Use Case Scenario (Air Quality Monitoring) -- 5 Various Real-World IoT-Cloud Applications -- 5.1 Smart Health Care -- 5.2 Smart Agriculture -- 5.3 Smart Home -- 5.4 Smart Environment Monitoring -- 6 Related Challenges of IoT-Cloud-Enabled Applications -- 6.1 Privacy and Security -- 6.2 Reliability -- 6.3 Scalability -- 6.4 Performance -- 6.5 Heterogeneity -- 6.6 Resource Allocation -- 7 Conclusions and Future Directions -- References -- Empirical Analysis of the Impact of Homomorphic Encryption on Cloud Computing -- 1 Introduction -- 2 Prioritise Risks Insights to Uncover Hidden Threats -- 3 Working Principle -- 3.1 RSA -- 3.2 Elgamal -- 3.3 Paillier -- 3.4 DGHV -- 4 Result with Statistical Analysis -- 5 Conclusion -- References -- Comparative Analysis of Full Training Set and Cross-Validation for Machine Learning Approach to Run Smart Wheelchair -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Data Analysis and Modeling -- 5 Performance Evaluation Parameter -- 6 Experimental Setup -- 7 Result and Discussion. 8 Conclusion -- References -- Relationship LSTM Network for Prediction in Social Internet of Things -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 System Model -- 4.1 Problem Formulation -- 5 Proposed Model Design and Algorithm -- 6 Results -- 7 Conclusion and Future Work -- References -- Relationship-Based AES Security Model for Social Internet of Things -- 1 Introduction -- 2 Related Works -- 3 Problem Statement -- 4 System Model -- 4.1 Problem Formulation -- 5 Proposed Security Model Design and Algorithm -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- Intelligent Systems in Image Processing and Deep Learning -- Face and Fingerprint Fusion Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Recent Works -- 4 Methodology -- 4.1 Vggnet -- 4.2 ResNet -- 4.3 Random Forest -- 4.4 Decision Tree -- 4.5 KNN -- 5 Experimental Results -- 5.1 VGG16 -- 5.2 VGG19 -- 5.3 ResNet -- 6 Conclusion -- References -- Artificial Intelligence for Satellite Image Processing: Application to Rainfall Estimation -- 1 Introduction -- 2 Satellite Data -- 3 Application of AI to the Rainfall Estimation -- 3.1 Techniques Based on Machine Learning -- 3.2 Contribution of Deep Learning -- 4 Conclusion -- References -- Cyber Security and Data Security -- A Comprehensive Review of Various Approaches to Intrusion Detection Systems -- 1 Introduction -- 2 Intrusion Detection System (IDS) -- 3 Wireless Intrusion Detection System -- 4 Wireless Intrusion Detection, Prevention, and Attack -- 5 IDS for 802.11 Networks-A Review -- 6 IDS Using Machine Learning (ML) and Deep Learning (DL) -- 7 Experiment -- 8 Conclusion and Future Scope -- References -- Extensive Analysis of Intrusion Detection System Using Deep Learning Techniques -- 1 Introduction -- 2 Review of Deep Learning Based IDS Models -- 3 Performance Analysis. 4 Challenges and Future Developments -- 5 Conclusion -- References -- Intelligent Systems for Social Welfare I -- A Comprehensive Comparison Between Pre-trained and Custom Trained Object Detection Model for Indian Traffic Scenarios -- 1 Introduction -- 2 Object Detection and YOLO -- 3 Methodology -- 4 Dataset -- 5 Testing -- 6 Evaluation of Results -- 7 Conclusion -- References -- Detection of Outdoor Traffic and Kids Playing Scene for Visually Impaired People -- 1 Introduction and Literature Survey -- 2 Methodology -- 2.1 Dataset and Image Pre-processing -- 2.2 Feature Vector Extraction -- 2.3 Feature Clustering and Dimensionality Reduction -- 2.4 Classification and Recognition of Traffic Jam and Kids Playing Scene -- 3 Result -- 4 Conclusion -- References -- A Real-Time Detection of Indian Traffic Signs for Visually Impaired People -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Collection and Pre-processing -- 2.2 Feature Vector Compilation -- 2.3 Dimensionality Reduction -- 2.4 Classification and Recognition of Traffic Sign -- 3 Result -- 4 Conclusion -- References -- Electronic Travel Aid for Crosswalk Detection for Visually Challenged People -- 1 Introduction -- 2 Methodology -- 3 Performance Evaluation and Results -- 4 Conclusion -- References -- Intelligent Systems for Social Media -- Twitter Sentiment Analysis Using Enhanced BERT -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Enhanced BERT Model -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- A Study on Sentiment Analysis of Twitter Data in Marathi Language for Measuring Depression -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Collection of Marathi Tweet Data -- 3.2 Preprocessing of Data -- 3.3 Processing of Data -- 3.4 Feature Selection Methods -- 3.5 Feature Extraction -- 3.6 Methods -- 4 Conclusion -- 5 Future Work -- References. GMM-EM-ACO Model for Congestion Free Routing in Social Internet of Things -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 System Model -- 4.1 Problem Formulation -- 5 Proposed Model -- 6 Algorithm -- 7 Results -- 8 Conclusion and Future Work -- References -- Natural Language Processing -- Gesture Recognition for American Sign Language Using Pytorch and Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Proposed System and Methodology -- 4 Results -- 5 Conclusions and Future Work -- References -- Enhanced Preprocessing Technique for Degraded Printed Marathi Characters -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 4 Preprocessing and Segmentation -- 5 Assessment Factors for Enhanced Image -- 5.1 Mutual Information -- 5.2 Mean Square Error -- 5.3 Peak Signal to Noise Ratio -- 6 Experimental Results and Discussion -- 7 Conclusion -- References -- Intelligent Systems in Medical and Healthcare Management -- Cough Audio Signal-Based Clinical Emergency Classification of Corona Variant Infected Patients Using Multiclass SVM -- 1 Introduction -- 2 Literature Survey -- 3 Objective -- 4 Experimental Setup for Building the Proposed Model -- 4.1 Audio Features for Classification -- 4.2 Feature Selection -- 5 Identification of Class Labels and Building Training Data -- 5.1 Proposed Model -- 6 Emergency Classification and Prediction Using Multiclass SVM-Implementation -- 7 Results and Evaluation -- 8 Discussion -- 9 Conclusion -- References -- Binary Classification of Mammograms Using Horizontal Visibility Graph -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Gist of Datasets -- 3.2 HVG Representation and HIM -- 3.3 Training and Performance Analysis -- 3.4 Overview of Implementation -- 4 Results -- 4.1 Results for Image Size 32 times 3232 times32 -- 4.2 Results for Image Size 16 times 1616 times16. 4.3 Computation Time Versus Accuracy. |
| Record Nr. | UNISA-996547959103316 |
| Gateway East, Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent systems and applications : select proceedings of ICISA 2022 / / edited by Anand J. Kulkarni, Seyedali Mirjalili, and Siba Kumar Udgata
| Intelligent systems and applications : select proceedings of ICISA 2022 / / edited by Anand J. Kulkarni, Seyedali Mirjalili, and Siba Kumar Udgata |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (512 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Artificial intelligence |
| ISBN | 981-19-6581-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Intelligent Systems in Agriculture -- An Efficient Approach for Plant Leaf Species Identification Based on SVM and SMO and Performance Improvement -- 1 Introduction -- 2 Methodology -- 3 Spider Monkey Optimization Algorithm (SMO) -- 3.1 Population Initiation -- 3.2 Local Leader Phase (LLP) -- 3.3 Global Leader Phase (GLP) -- 4 Support Vector Machine -- 5 Simulation Results -- 6 Conclusion -- References -- Smart IoT-Based Pesticides Recommendation System for Rice Diseases -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Materials and Methodology -- 4 Results -- 4.1 Evaluation Metrics -- 4.2 Sensors Results and Readings -- 5 Conclusion -- References -- Classification of Tomato Leaf Diseases: A Comparison of Different Optimizers -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Optimization of Rainfall Intensities Classification Based on Artificial Intelligence Using Recurrent Neural Network -- 1 Introduction -- 1.1 Data and Methodology -- 1.2 MSG Data and Radar Data -- 1.3 Selection of Input Parameters -- 1.4 RNN Model -- 1.5 Choice of RNN Architecture -- 2 Application and Classification Results -- 2.1 Application to a Scene -- 2.2 Application to All Scenes -- 3 Conclusion -- References -- Tomato Plant Leaf Disease Detection Using Inception V3 -- 1 Introduction -- 2 Related Research -- 3 Workflow for Tomato Plant Disease Detection -- 3.1 Inception V3 -- 3.2 Dataset Description -- 3.3 Intermediate Results of Model Training -- 4 Conclusion -- References -- Astute Farm Monitoring Using WSN and AI-A Solution for Optimally Monitoring Environmental Conditions -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 Proposed System -- 3.2 Components Used in Proposed System -- 3.3 System Modules.
4 Result and Discussion -- 4.1 Dataset Description and Experimental Setup -- 4.2 Evaluation Metrics -- 4.3 Result Analysis -- 5 Conclusion -- References -- Intelligent Systems in Internet of Things and Cloud Computing -- A Comprehensive Literature Review of Artificial Intelligent Practices in the Field of Penetration Testing -- 1 Introduction -- 2 Existing Automated Penetration Testing Models -- 3 Results and Discussion -- 4 Future Directions -- 5 Conclusions -- References -- IoT-Cloud-Enabled Smart Framework for Real-World Applications -- 1 Introduction -- 1.1 Motivation for the Proposed Framework -- 2 Related Work -- 3 Proposed IoT-Cloud-Enabled Smart Framework for Real-World Applications -- 3.1 Sensor Connectivity and Network Phase -- 3.2 Gateway and Network Phase -- 3.3 Cloud Computing Phase -- 3.4 IoT-Cloud Applications Phase -- 4 Use Case Scenario (Air Quality Monitoring) -- 5 Various Real-World IoT-Cloud Applications -- 5.1 Smart Health Care -- 5.2 Smart Agriculture -- 5.3 Smart Home -- 5.4 Smart Environment Monitoring -- 6 Related Challenges of IoT-Cloud-Enabled Applications -- 6.1 Privacy and Security -- 6.2 Reliability -- 6.3 Scalability -- 6.4 Performance -- 6.5 Heterogeneity -- 6.6 Resource Allocation -- 7 Conclusions and Future Directions -- References -- Empirical Analysis of the Impact of Homomorphic Encryption on Cloud Computing -- 1 Introduction -- 2 Prioritise Risks Insights to Uncover Hidden Threats -- 3 Working Principle -- 3.1 RSA -- 3.2 Elgamal -- 3.3 Paillier -- 3.4 DGHV -- 4 Result with Statistical Analysis -- 5 Conclusion -- References -- Comparative Analysis of Full Training Set and Cross-Validation for Machine Learning Approach to Run Smart Wheelchair -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Data Analysis and Modeling -- 5 Performance Evaluation Parameter -- 6 Experimental Setup -- 7 Result and Discussion. 8 Conclusion -- References -- Relationship LSTM Network for Prediction in Social Internet of Things -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 System Model -- 4.1 Problem Formulation -- 5 Proposed Model Design and Algorithm -- 6 Results -- 7 Conclusion and Future Work -- References -- Relationship-Based AES Security Model for Social Internet of Things -- 1 Introduction -- 2 Related Works -- 3 Problem Statement -- 4 System Model -- 4.1 Problem Formulation -- 5 Proposed Security Model Design and Algorithm -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- Intelligent Systems in Image Processing and Deep Learning -- Face and Fingerprint Fusion Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Recent Works -- 4 Methodology -- 4.1 Vggnet -- 4.2 ResNet -- 4.3 Random Forest -- 4.4 Decision Tree -- 4.5 KNN -- 5 Experimental Results -- 5.1 VGG16 -- 5.2 VGG19 -- 5.3 ResNet -- 6 Conclusion -- References -- Artificial Intelligence for Satellite Image Processing: Application to Rainfall Estimation -- 1 Introduction -- 2 Satellite Data -- 3 Application of AI to the Rainfall Estimation -- 3.1 Techniques Based on Machine Learning -- 3.2 Contribution of Deep Learning -- 4 Conclusion -- References -- Cyber Security and Data Security -- A Comprehensive Review of Various Approaches to Intrusion Detection Systems -- 1 Introduction -- 2 Intrusion Detection System (IDS) -- 3 Wireless Intrusion Detection System -- 4 Wireless Intrusion Detection, Prevention, and Attack -- 5 IDS for 802.11 Networks-A Review -- 6 IDS Using Machine Learning (ML) and Deep Learning (DL) -- 7 Experiment -- 8 Conclusion and Future Scope -- References -- Extensive Analysis of Intrusion Detection System Using Deep Learning Techniques -- 1 Introduction -- 2 Review of Deep Learning Based IDS Models -- 3 Performance Analysis. 4 Challenges and Future Developments -- 5 Conclusion -- References -- Intelligent Systems for Social Welfare I -- A Comprehensive Comparison Between Pre-trained and Custom Trained Object Detection Model for Indian Traffic Scenarios -- 1 Introduction -- 2 Object Detection and YOLO -- 3 Methodology -- 4 Dataset -- 5 Testing -- 6 Evaluation of Results -- 7 Conclusion -- References -- Detection of Outdoor Traffic and Kids Playing Scene for Visually Impaired People -- 1 Introduction and Literature Survey -- 2 Methodology -- 2.1 Dataset and Image Pre-processing -- 2.2 Feature Vector Extraction -- 2.3 Feature Clustering and Dimensionality Reduction -- 2.4 Classification and Recognition of Traffic Jam and Kids Playing Scene -- 3 Result -- 4 Conclusion -- References -- A Real-Time Detection of Indian Traffic Signs for Visually Impaired People -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Collection and Pre-processing -- 2.2 Feature Vector Compilation -- 2.3 Dimensionality Reduction -- 2.4 Classification and Recognition of Traffic Sign -- 3 Result -- 4 Conclusion -- References -- Electronic Travel Aid for Crosswalk Detection for Visually Challenged People -- 1 Introduction -- 2 Methodology -- 3 Performance Evaluation and Results -- 4 Conclusion -- References -- Intelligent Systems for Social Media -- Twitter Sentiment Analysis Using Enhanced BERT -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Enhanced BERT Model -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- A Study on Sentiment Analysis of Twitter Data in Marathi Language for Measuring Depression -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Collection of Marathi Tweet Data -- 3.2 Preprocessing of Data -- 3.3 Processing of Data -- 3.4 Feature Selection Methods -- 3.5 Feature Extraction -- 3.6 Methods -- 4 Conclusion -- 5 Future Work -- References. GMM-EM-ACO Model for Congestion Free Routing in Social Internet of Things -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 System Model -- 4.1 Problem Formulation -- 5 Proposed Model -- 6 Algorithm -- 7 Results -- 8 Conclusion and Future Work -- References -- Natural Language Processing -- Gesture Recognition for American Sign Language Using Pytorch and Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Proposed System and Methodology -- 4 Results -- 5 Conclusions and Future Work -- References -- Enhanced Preprocessing Technique for Degraded Printed Marathi Characters -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 4 Preprocessing and Segmentation -- 5 Assessment Factors for Enhanced Image -- 5.1 Mutual Information -- 5.2 Mean Square Error -- 5.3 Peak Signal to Noise Ratio -- 6 Experimental Results and Discussion -- 7 Conclusion -- References -- Intelligent Systems in Medical and Healthcare Management -- Cough Audio Signal-Based Clinical Emergency Classification of Corona Variant Infected Patients Using Multiclass SVM -- 1 Introduction -- 2 Literature Survey -- 3 Objective -- 4 Experimental Setup for Building the Proposed Model -- 4.1 Audio Features for Classification -- 4.2 Feature Selection -- 5 Identification of Class Labels and Building Training Data -- 5.1 Proposed Model -- 6 Emergency Classification and Prediction Using Multiclass SVM-Implementation -- 7 Results and Evaluation -- 8 Discussion -- 9 Conclusion -- References -- Binary Classification of Mammograms Using Horizontal Visibility Graph -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Gist of Datasets -- 3.2 HVG Representation and HIM -- 3.3 Training and Performance Analysis -- 3.4 Overview of Implementation -- 4 Results -- 4.1 Results for Image Size 32 times 3232 times32 -- 4.2 Results for Image Size 16 times 1616 times16. 4.3 Computation Time Versus Accuracy. |
| Record Nr. | UNINA-9910637736303321 |
| Gateway East, Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Nature-Inspired Optimizers [[electronic resource] ] : Theories, Literature Reviews and Applications / / edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis
| Nature-Inspired Optimizers [[electronic resource] ] : Theories, Literature Reviews and Applications / / edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 238 p. 108 illus., 101 illus. in color.) |
| Disciplina | 006.3823 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Mathematical optimization Control engineering Computational Intelligence Artificial Intelligence Optimization Control and Systems Theory |
| ISBN | 3-030-12127-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Chapter 1. Introduction to Nature-inspired Algorithms -- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network -- Chapter 4. Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection -- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc. |
| Record Nr. | UNINA-9910484569403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimisation Algorithms for Hand Posture Estimation [[electronic resource] /] / by Shahrzad Saremi, Seyedali Mirjalili
| Optimisation Algorithms for Hand Posture Estimation [[electronic resource] /] / by Shahrzad Saremi, Seyedali Mirjalili |
| Autore | Saremi Shahrzad |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 205 p. 108 illus., 99 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Computer simulation Mathematical optimization Computational Intelligence Simulation and Modeling Optimization |
| ISBN | 981-13-9757-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Hand Posture Estimation -- Literature Review of Hand Posture Estimation Techniques and Optimisation Algorithms -- A New 3D Hand Model, Hand Shape Optimization, and Evolutionary Population Dynamics for PSO and MOPSO -- Evaluating PSO and MOPSO equipped with Evolutionary Population Dynamics -- Hand shape optimisation for geometry-based models using EPD-based Particle Swarm Optimization -- Hand recovery for geometry-based models using EPD-based Particle Swarm Optimization -- Hand model estimation considering two objectives using EPD-based Multi-Objective Particle Swarm Optimization -- Conclusion. |
| Record Nr. | UNINA-9910484715603321 |
|
Saremi Shahrzad
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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