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Innovative Computing Trends and Applications / / edited by Pandian Vasant, Igor Litvinchev, José Antonio Marmolejo-Saucedo
| Innovative Computing Trends and Applications / / edited by Pandian Vasant, Igor Litvinchev, José Antonio Marmolejo-Saucedo |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (115 pages) |
| Disciplina |
621.39
621.38195 |
| Collana | EAI/Springer Innovations in Communication and Computing |
| Soggetto topico |
Electrical engineering
Signal processing Image processing Speech processing systems Application software Data mining Communications Engineering, Networks Signal, Image and Speech Processing Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery |
| ISBN | 3-030-03898-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1: A Multi-objective Simulation-based Optimization Approach applied to Material Handling System -- Chapter2: Dataspace Management for Large Data Sets -- Chapter3: Effect of parameters and distribution of air in microwave-convective zone on energy intensity of drying -- Chapter4: Energy Saving Device for Microclimate Maintenance with Utilization of Low-Grade Heat -- Chapter5: Liberalization of the Mexican electricity sector a study of technical efficiency -- Chapter6: Impacts of Sleeping Time during the Day on the Timing and Level of Basal Heart Rate: Analysis of ALLSTAR Big Data -- Chapter7: Innovative Instruments for Extraction of Low-Grade Heat from Surface Watercourses for Heating Systems with Heat Pump -- Chapter8: Propagation of EMF in grain material of various densities -- Chapter9: Solar system with seasonal thermal energy storage -- Chapter10: Towards a Capability Maturity Model for Digital Forensic Readiness -- Chapter11: Vertical and horizontal integration systems in industry 4.0. |
| Record Nr. | UNINA-9910337643203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Introduction to computer architecture / Harold S. Stone editor... <et al.>
| Introduction to computer architecture / Harold S. Stone editor... <et al.> |
| Autore | STONE. Harold S. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chicago : Science research associates Inc, c1980 |
| Descrizione fisica | 673 p : ill. graf. tab. ; 23 cm |
| Disciplina | 621.38195 |
| Collana | SRA computer science series |
| Soggetto non controllato | Elaboratori elettronici |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990000354410203316 |
STONE. Harold S.
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| Chicago : Science research associates Inc, c1980 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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ISCA '73 : Proceedings of the 1st annual symposium on Computer architecture / / edited by G. Jack Lipovski, S. A. Szygenda
| ISCA '73 : Proceedings of the 1st annual symposium on Computer architecture / / edited by G. Jack Lipovski, S. A. Szygenda |
| Pubbl/distr/stampa | New York, NY : , : Association for Computing Machinery, , 1973 |
| Descrizione fisica | 1 online resource (iv, 277 pages) |
| Disciplina | 621.38195 |
| Soggetto topico |
Computer engineering
Electronic digital computers - Design and construction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510412603321 |
| New York, NY : , : Association for Computing Machinery, , 1973 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ITiCSE '21 . Volume 1, : Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education / / Carsten Schulte [and three others]
| ITiCSE '21 . Volume 1, : Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education / / Carsten Schulte [and three others] |
| Autore | Schulte Carsten |
| Pubbl/distr/stampa | New York, NY : , : Association for Computing Machinery, , 2021 |
| Descrizione fisica | 1 online resource (611 pages) |
| Disciplina | 621.38195 |
| Soggetto topico |
Computer-assisted instruction
Computer engineering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510490903321 |
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Schulte Carsten
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| New York, NY : , : Association for Computing Machinery, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Komplexitat von entscheidungsproblemen : einer seminar / Ernst Specker und Volker Strassen
| Komplexitat von entscheidungsproblemen : einer seminar / Ernst Specker und Volker Strassen |
| Autore | SPECKER, Ernst |
| Edizione | [Berlin] |
| Pubbl/distr/stampa | 271 p. : ill., 24 cm |
| Descrizione fisica | Lecture notes in computer science ; 43 |
| Disciplina | 621.38195 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNISA-990000349550203316 |
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SPECKER, Ernst
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| 271 p. : ill., 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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La programmazione dello Z-8000 / Richard Mateosian
| La programmazione dello Z-8000 / Richard Mateosian |
| Autore | MATEOSIAN, Richard |
| Pubbl/distr/stampa | Milano : Gruppo editoriale Jackson, 1981 |
| Descrizione fisica | XIII, 302 p. : ill. ; 21 cm |
| Disciplina | 621.38195 |
| Soggetto non controllato | Microprocessore Z-8000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISA-990000345760203316 |
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MATEOSIAN, Richard
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| Milano : Gruppo editoriale Jackson, 1981 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Microcomputer system design : an advanced course Trinity college Dublin, June 1981 / edited by M.J. Flynn, N.R. Harris and D.P. McCarthy
| Microcomputer system design : an advanced course Trinity college Dublin, June 1981 / edited by M.J. Flynn, N.R. Harris and D.P. McCarthy |
| Pubbl/distr/stampa | Berlin : Springer Verlag, 1982 |
| Descrizione fisica | VII, 397 p. : ill. ; 24 cm |
| Disciplina | 621.38195 |
| Collana | Lecture notes in computer science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990000350540203316 |
| Berlin : Springer Verlag, 1982 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Proceedings of International Conference on Recent Innovations in Computing : ICRIC 2023, Volume 1
| Proceedings of International Conference on Recent Innovations in Computing : ICRIC 2023, Volume 1 |
| Autore | Singh Yashwant |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 621.38195 |
| Altri autori (Persone) |
SinghPradeep Kumar
GonçalvesPaulo J. Sequeira KarArpan Kumar |
| Collana | Lecture Notes in Electrical Engineering Series |
| ISBN |
9789819728398
9789819728381 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Artificial Intelligence and Digital India -- Deep Learning-Based Summarized Notes Generation from Document -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experiments and Result -- 5 Conclusion -- References -- AI and Patient Convenience: Usage of AI-Based Medical Chatbots for Medical Diagnosis via Smartphones -- 1 Introduction -- 2 Literature Review -- 2.1 Chatbots -- 2.2 AI and Chatbots -- 2.3 Benefits of AI-Based Smart Medical Chatbots -- 3 Proposed Model -- 4 Why This Idea is Unique -- 5 Conclusion and Scope for Further Research -- References -- Artificial Intelligence (AI)-Powered Intelligent Systems for Disease Prognosis: A Bibliometric Study -- 1 Introduction -- 2 Conceptual Background and Methodology -- 2.1 Bibliometric Protocol -- 3 Findings -- 3.1 Co-occurrence (Authors Based) -- 3.2 Citation Analysis -- 4 Discussion, Contribution, Implications, and Future Research Directions -- 5 Conclusion -- References -- Unleashing the Potential: Study on Artificial Intelligence Effect in Education Sector -- 1 Introduction -- 1.1 Objectives of the Study -- 1.2 Hypothesis -- 2 Literature Review -- 3 Data Analysis -- 4 Result and Discussion -- 4.1 Teacher and Student Perceptions -- 4.2 Next Generation AI-Driven Education -- 4.3 The Belief Among Teachers: Teachers are Being Replaced by Robots -- 5 Conclusion -- References -- AI-Powered Traffic Orchestration: Reinforcement Learning at Traffic Intersections -- 1 Introduction -- 1.1 Present System -- 1.2 Motivation Factor -- 2 Related Work -- 2.1 Model Free RL -- 3 Terminology for Traffic Signal Control -- 4 Problem Statement -- 5 Proposed Methodology -- 5.1 Framework -- 6 Experimental Work and Result -- 6.1 Simulation Environment -- 6.2 Intersection Area -- 6.3 Result -- 7 Conclusion and Future Scope -- References.
A Novel Melanoma Diagnosing System Using Multi-directional Pattern Extraction-Based Distributed Deep Learning Model -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Multi-directional texture Patterns (MDTP) -- 3.2 Distributed Deep Learning (DDL) Algorithm -- 4 Results and Discussion -- 5 Conclusion -- References -- A Review of Artificial Intelligence and Machine Learning for Vaccine Research -- 1 Introduction -- 2 Literature Survey -- 3 Overview of Computational Analysis for Vaccine Development -- 3.1 Steps Involved in Vaccine Development Using AI and ML -- 3.2 Accelerating Vaccine Screening With AI and ML -- 3.3 Optimization of Vaccine Formulations with AI -- 3.4 The Role of AI and ML in Immunoinformatics and Predictive Modeling -- 3.5 Input Sources to Train ML Module for Vaccine Development -- 4 AI-Based Vaccine Safety and Adverse Event Prediction -- 4.1 AI-Based Vaccine Distribution and Supply Optimization -- 5 Conclusion -- 6 Future Scope -- References -- Machine Learning Techniques for Detection and Classification of Crop (Solanum lycopersicum) Plant Diseases Due to Pests: A Review -- 1 Introduction -- 2 Classification of Tomato Diseases -- 3 Tomato Leaf Diseases Detection Using Machine Learning -- 3.1 Tomato Leaf Diseases Detection Using Supervised Learning -- 3.2 Tomato Leaf Diseases Detection Using Other ML Techniques -- 4 Research Gaps -- 5 Methodology -- 6 Conclusion and Future Scope -- References -- Fake News Detection Using Machine Learning Classification Algorithms -- 1 Introduction -- 2 Background -- 3 Literature Review -- 4 Materials and Methods -- 4.1 Proposed Algorithms -- 4.2 Dataset -- 5 Results and Discussion -- 6 Conclusion -- References -- Deep Learning Model-Based Approach for DDoS Detection and Classification -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 3.1 LSTM -- 3.2 RNN. 3.3 Autoencoder with LSTM Decoder -- 3.4 GRU -- 4 Comparison Table -- 5 Results -- 5.1 Testing Environment -- 5.2 Dataset -- 5.3 Pre-processing -- 5.4 Experimental Results -- 6 Conclusion -- References -- Data Analysis on Dynamic Flow Characteristics of Variable Delivery Hydraulic Axial Piston Pump -- 1 Introduction -- 1.1 Piston Pumps -- 1.2 Working Principle -- 2 Literature Review -- 2.1 Dynamic Flow Characteristics -- 3 Mathematical Modeling -- 3.1 Modeling of Pumping Dynamics -- 4 Implementation of the Proposed Model -- 4.1 Test Rig Description -- 4.2 Pump Model -- 4.3 Piston Model -- 5 Results and Discussion -- 5.1 Effect of Pump Angular Velocity on Pressure Pulsation and Flow Ripples -- 5.2 Coefficient of Pressure Pulsation and Coefficient of Flow Ripples -- 6 Conclusions -- References -- Exploring Explainable Machine Learning in Healthcare: Closing the Predictive Accuracy and Clinical Interpretability Gap -- 1 Introduction -- 2 Literature Survey -- 2.1 Some of the Most Popular Xml Techniques -- 3 XML in Clinical Practice -- 3.1 Clinical Integration -- 3.2 Ethical Considerations -- 3.3 Challenges and Limitations -- 4 Methodology -- 5 Results and Discussion -- 5.1 Naive Bayes -- 5.2 Logistic Regression -- 6 Future Directions -- 7 Conclusion -- References -- An Enhanced Neural Network Collaborative Filtering (ENNCF) for Personalized Recommender System -- 1 Introduction -- 2 Related Works -- 3 Proposed Enhanced Neural Network Collaborative Filtering (ENNCF) -- 3.1 Learning from Explicit Data -- 3.2 K-Recursive Reliability-Based Imputation Method-Steps -- 3.3 Enhanced Neural Network Collaborative Filtering -- 4 Experimental Analysis -- 4.1 Datasets -- 4.2 Evaluation Protocols -- 4.3 Baselines -- 5 Results and Discussion -- 6 Conclusion -- References -- Diagnosis of Behavioural Disorders Using Swarm Intelligent Metaheuristic Techniques. 1 Introduction -- 1.1 Objectives -- 1.2 Contribution -- 1.3 Methodology -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Design of Improved Particle Swarm Optimization Using Grey Wolf Optimizer (IPSOGWO) -- 2.3 Strength of Hybrid -- 3 Results and Discussion -- 4 Conclusion and Future Scope -- References -- Cyber Security and Cyber Physical Systems -- Leveraging Data Mining Optimization for Enhancing Safety Management in Public Security Prevention and Control Application -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 The Concept of Controlled AI -- 3.2 The Architecture of Controlled AI -- 4 Results and Discussion -- 4.1 Recovery Test -- 4.2 Response Time and Accuracy Analysis -- 5 Conclusion -- 5.1 Future Research Directions -- References -- Forecasting Criminal Activity: An Empirical Approach for Crime Rate Prediction -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Exploratory Data Analysis and Visualization -- 3.3 Splitting the Dataset for Training and Testing -- 3.4 Model Selection -- 3.5 Predictive Analysis -- 4 Result -- 5 Discussion/Future Works -- 6 Conclusion -- References -- Early Detection of Crypto-Ransomware Pre-encryption Phases: A Review -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 The Ransomware Phenomenon: A Critical Analysis -- 4.1 Attack Enabling Factors -- 4.2 Ransomware Attack Phases -- 5 Crypto-Ransomware Existing Studies -- 5.1 Ransomware Analysis -- 5.2 Discussion and Research Direction -- 6 Conclusion -- References -- Are We Ready to Investigate Robots? Issues and Challenges Involved in Robotic Forensics -- 1 Introduction -- 2 Related Work -- 3 Issues and Challenges of Robotic Forensics -- 3.1 Acquisition -- 3.2 Analysis -- 3.3 Other Issues and Challenges -- 4 A Case Scenario on Forensic Challenges -- 5 Discussion. 6 Conclusion -- References -- Unmasking the Vulnerabilities: A Deep Dive into the Security Threat Landscape of Humanoid Robots -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 4 Attack Models: Strategies and Techniques -- 4.1 Acquiring Critical Information from Open-Source Intelligence (OSINT) Frameworks -- 4.2 Obtaining of Wireless Fidelity Passphrase via Various Frameworks -- 4.3 Analysis of Wireless Fidelity Network Traffic via Wireshark -- 4.4 Manual Exploitation Techniques of Robotics Environment -- 4.5 Automation Exploitation Techniques of Robotics Environment -- 4.6 Post-exploitation Techniques of Robotics Environment -- 4.7 Anti-forensics Techniques -- 5 Discussion -- 6 Conclusion -- References -- Review of Cyber-Physical System-Based Security Datasets for Learning-Based Intrusion Detection Systems -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Contributions -- 1.3 Paper Outline -- 2 Cybersecurity Datasets -- 3 Learning-Based IDS -- 4 Challenges and Recommendations -- 5 Conclusion -- References -- Survey and Analysis of Intrusion Detection Frameworks for Cyber-Physical Systems: A Comprehensive Study -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Framework for IDS in CPS -- 4 Conclusion -- References -- Enhancing IoT Security Through Deep Learning: A Comprehensive Study -- 1 Introduction -- 2 Related Work -- 3 IoT Security with Deep Learning -- 3.1 Convolutional Neural Networks (CNNs) -- 3.2 Recurrent Neural Networks (RNNs) -- 3.3 Deep Belief Networks (DBNs) -- 3.4 Deep Autoencoders (AEs) -- 3.5 Generative Adversarial Networks (GANs) -- 3.6 Ensemble of DL Networks (EDLNs) -- 3.7 Deep Reinforcement Learning (DRL) -- 3.8 Federated Learning (FL) -- 4 IoT Security Challenges -- 5 Conclusion -- References -- A Detailed Study of Advancements in Digital Forensics -- 1 Introduction -- 1.1 Contribution -- 1.2 Objective. 2 Methodology. |
| Record Nr. | UNINA-9910874677303321 |
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Singh Yashwant
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Recent Innovations in Computing . Volume 1 : ICRIC 2022 / / Yashwant Singh [and four others], editors
| Proceedings of International Conference on Recent Innovations in Computing . Volume 1 : ICRIC 2022 / / Yashwant Singh [and four others], editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Springer, Springer Nature Singapore Pte Ltd., , [2023] |
| Descrizione fisica | 1 online resource (668 pages) |
| Disciplina | 621.38195 |
| Collana | Lecture Notes in Electrical Engineering Series |
| Soggetto topico |
Artificial intelligence
Computer networks Internet Software engineering |
| ISBN |
9789811998768
9789811998751 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Brain Tumor Segmentation Using Fully Convolution Neural Network -- Artificial Intelligence Based Lung Nodule Detection: A Survey -- Correlative Exposition of Various Machine Learning techniques for Urdu Handwritten Text Recognition -- Artificial Intelligence and Graph Theory Application for Diagnosis of Neurological Disorder Using fMRI -- Performance Analysis of Document Similarity Based DBSCAN and K-Means Clustering on Text Datasets -- Evolution of Autonomous Vehicle: An Artificial Intelligence Perspective -- Systematic Review of Learning Models for Suicidal Ideation on Social Media -- A Novel Recommendation System for Mutual Management on both OTT Video Streaming and Advertising Using Incremental Learning Approach -- Early Diagnosis of Cervical Cancer using AI: A Review -- Exploring Data-Driven Approaches for Apple Disease Prediction Systems -- Deep Learning Techniques used for Fake News Detection: A Review and Analysis -- Darkness Behind the Darknet: A Comparative Analysis of Darknet Traffic and the Crimes Behind the Darknet Using Machine Learning -- Development of Chatbot Retrieving Fact-Based Information Using Knowledge Graph -- Short-Term Load demand Forecasting using Artificial Neural Network -- Comparative Analysis of Performances of Convolutional Neural Networks for Image Classification Tasks. |
| Record Nr. | UNINA-9910720087503321 |
| Singapore : , : Springer, Springer Nature Singapore Pte Ltd., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustained simulation performance 2021 : proceedings of the joint workshop on sustained simulation performance, university of Stuttgart (HLRS) and Tohoku University, 2021 / / Michael M. Resch [and three others], editors
| Sustained simulation performance 2021 : proceedings of the joint workshop on sustained simulation performance, university of Stuttgart (HLRS) and Tohoku University, 2021 / / Michael M. Resch [and three others], editors |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (107 pages) |
| Disciplina | 621.38195 |
| Soggetto topico |
Computer engineering
Computer simulation High performance computing |
| ISBN | 3-031-18046-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Performance and Power -- Numeric and Optimization -- Data Handling and New Concepts -- Trends in HPC and AI. |
| Record Nr. | UNINA-9910739475503321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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