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Advanced Network Technologies and Intelligent Computing : 4th International Conference, ANTIC 2024, Varanasi, India, December 19–21, 2024, Proceedings, Part II / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Rajkumar Buyya, Dipankar Dasgupta
| Advanced Network Technologies and Intelligent Computing : 4th International Conference, ANTIC 2024, Varanasi, India, December 19–21, 2024, Proceedings, Part II / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Rajkumar Buyya, Dipankar Dasgupta |
| Autore | Verma Anshul |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (637 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
VermaPradeepika
PattanaikKiran Kumar BuyyaRajkumar DasguptaDipankar |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Software engineering Cryptography Data encryption (Computer science) Coding theory Information theory Computer Engineering and Networks Software Engineering Cryptology Computer Communication Networks Coding and Information Theory |
| ISBN |
9783031837906
3031837908 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Advance Network Technologies. -- Ameliorated Standardization Framework for Post-Quantum Cryptographic Algorithms. -- Integrating IoT and Machine Learning for Human Fall Detection and Activity Monitoring. -- A Novel Protocol for Authentication and Group Key Distribution for Secure Data Transmission in VANET Environment Using Theory of Number. -- Revolutionizing Urban Mobility: ZoomBikes. -- Lane Detection in Autonomous Vehicles Using Unsupervised Machine Learning and Light Detection and Ranging. -- Secure Intelligence Development Lifecycle (SIDL) Model for Vulnerability Detection. -- Predictive VM Placement Algorithm for Resource Optimization: Leveraging Deep Learning Forecasting and Resource Relationship Modeling. -- Analysis of Different Gravity Models to Determine Key Nodes in Social Networks. -- PUF-Based Ownership transfer using Blockchain. -- Intelligent Computing. -- Comprehensive Water Quality Analysis and Prediction Using Ensemble Machine Learning Models. -- Efficient Sparse Tensor Core Networks for Real-Time Insect Classification in Agriculture. -- Detection model for Pulmonary TB on Augmented X-ray Images Enhanced through Histogram Equalization. -- Comparing the Performance of Supervised, Unsupervised and Hybrid Learning on Medical Insurance Fraud Detection. -- Deep-MFR: A Deep Learning Ensemble Approach for Improved Masked Face Recognition. -- Reduced Kernel Principal Component Analysis approach for Microarray Spot Classification. -- Detection of Vitiligo using Ensemble Learning. -- Integration of Multi-Feature Analysis with Lightweight CNN Model for Heart Sound Classification. -- Vaccine Sentiment Analysis: A Twitter Study using NLP and ML approach. -- COMPUTER-AIDED DIAGNOSTIC SYSTEM FOR ALZHEIMER'S DISEASE USING 3D MRI IMAGES. -- Impact of Virtual Reality on Cultural Heritages: Development of Mobile VR Tour of the Museum Site of Chandigarh, India. -- Interpretable Liver Fibrosis Classification Using 1D-CNN. -- Software Defects Prediction using Generative Adversarial Network based Data Balancing. -- CRNet: Convolutive Recurrent Network for Suspect Face Identification. -- Integrating Optimized CNN and Deep CNN Model for Enhanced Maize Plant Leaf Disease Classification and Prediction Systems. -- Lung Region Segmentation from Chest-Radiographs Using EfficientNetB7. -- EnigmaArt: Dual Image Encryption and Compression via Autoencoding and Pixel Conversion. -- Artificial neural networks with soft attention: Natural language processing for phishing email detection optimized with modified metaheuristics. -- Reddit Sentiment Analysis Using AWS Services. -- Enhancing Security in Software-Defined Networks: A Machine Learning-Driven Hybrid Intrusion Detection System with Optimized Feature Selection. |
| Record Nr. | UNINA-9910986126803321 |
Verma Anshul
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Network Technologies and Intelligent Computing : 4th International Conference, ANTIC 2024, Varanasi, India, December 19–21, 2024, Proceedings, Part IV / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Rajkumar Buyya, Dipankar Dasgupta
| Advanced Network Technologies and Intelligent Computing : 4th International Conference, ANTIC 2024, Varanasi, India, December 19–21, 2024, Proceedings, Part IV / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Rajkumar Buyya, Dipankar Dasgupta |
| Autore | Verma Anshul |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (501 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
VermaPradeepika
PattanaikKiran Kumar BuyyaRajkumar DasguptaDipankar |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Software engineering Cryptography Data encryption (Computer science) Coding theory Information theory Computer Engineering and Networks Software Engineering Cryptology Computer Communication Networks Coding and Information Theory |
| ISBN | 9783031837968 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Intelligent Computing. -- DDoS Attack Detection Using Explainable AI in Machine Learning. -- XcUNet for Skin Lesion Segmentation followed by Clustering based Post-processing. -- Exploratory Study on Different Transformer Models. -- VisionLingua: Empowering Multimodal Understanding with Cutting-Edge Language Models. -- Human Action Recognition using Mediapipe Holistic Keypoints: A Deep Learning Approach. -- Machine Learning for Waste-to-Energy: Optimization and Predictive Analytics. -- Enhanced Traffic Forecasting for Urban planning Using DeepWalk Embeddings and Spatio-Temporal Graph Ordinary Differential Equation model. -- Fault Detection in Semiconductor Manufacturing Using Advanced Machine Learning Techniques with Interpretability. -- Fine-Tuning RetinaNet for Few-Shot Fruit Detection. -- Smart Street: AI-Powered Traffic Flow Enhancement with Adaptive Signal Control. -- A Hybrid Machine Learning Approach for Accurate Milk Quality Classification. -- Designing VoiceGPT Chatterbox Concierge: A Personal AI Assistant for Daily Services using Supervised Machine Learning Based Speech Recognition Techniques. -- Improved Classification Techniques Using Convolutional Neural Networks for Rice Plant Disease Detection. -- Enhancing Customer Segmentation and Behavior Prediction through Machine Learning and Medium Gaussian SVM. -- Grapevine SDLC Model for Real-Time Fake News Classification. -- Detecting AI-Generated Text Using Fine-Tuned Transformers: A Study on Academic Integrity. -- MoReco: AI Model Recommendation and Optimization for B5G Networks. -- File Prefetching Accuracy Enhancement using Deep Learning Approaches. -- Mamba based conditional GAN for optical cloud removal of satellite images. -- A hybrid quantum machine learning model for multi-class classifier. -- Adaptive Resource Management in Massive Machine-Type Communications Using Reinforcement Learning. -- Advanced Machine Learning and Features based Data Analytics of Electricity Consumption in USA and India. -- Cross-Domain Adversarial Attacks and Defense Mechanisms in Multimodal Neural Networks. -- Deep Feature Fusion of Local and Global Patterns for Early Detection of Lung Abnormalities in Chest X-Rays. |
| Record Nr. | UNINA-9910986146803321 |
|
Verma Anshul
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Network Technologies and Intelligent Computing : 4th International Conference, ANTIC 2024, Varanasi, India, December 19–21, 2024, Proceedings, Part I / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Rajkumar Buyya, Dipankar Dasgupta
| Advanced Network Technologies and Intelligent Computing : 4th International Conference, ANTIC 2024, Varanasi, India, December 19–21, 2024, Proceedings, Part I / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Rajkumar Buyya, Dipankar Dasgupta |
| Autore | Verma Anshul |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (616 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
VermaPradeepika
PattanaikKiran Kumar BuyyaRajkumar DasguptaDipankar |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Software engineering Cryptography Data encryption (Computer science) Coding theory Information theory Computer Engineering and Networks Software Engineering Cryptology Computer Communication Networks Coding and Information Theory |
| ISBN |
9783031837838
3031837835 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Advance Network Technologies. -- Ensuring Advanced ATM Security: A Formal Verification Approach With Event-B. -- Secure Communication in Fog Nodes through Quantum Key Distribution. -- Exploring Efficacy of Cryptographic Hash Functions SHA-256 and Blake2s against HashBoost. -- Deep Reinforcement Learning-Driven Path Optimization in Multi-UAV Edge Computing Systems. -- Decentralized Authentication and Data Security Scheme for IoMT devices and Patients using Blockchain, PUF and IPFS. -- Detection and Mitigation of IoT based DDoS Attack using Extended MUD enabled Device Profiling Techniques. -- Load Balanced Transaction Scheduling using Gaussian mixture model-ant colony optimization. -- Botnet-Based DDoS Attack: Automatic Detection, Mitigation, and Real-Time Traffic Filtering in Cloud Environments. -- Optimizing Cost Overhead in Low TPS Microservices with frequent Writes to Storage with Small Data Size. -- Designing A Smart Healthcare IoT System for Precise Fall Detection in Older Adults Using Multi-Sensor Data Fusion. -- Securing Pharmaceutical Supply Chains with Ethereum Blockchain: A Model for Counterfeit Prevention and Transparency of Drugs. -- A Hybrid Algorithm with Fuzzy Logic for Population Diversity Maintenance of Genetic Algorithm. -- IoT - enabled Tool for Static and Dynamic Analysis of Hand Strength. -- Decentralized Defences from Federated Learning for Ethereum Phishing Detection. -- Maximum Independent Set using Hummingbird Optimization. -- Machine Learning Based Voltage Prediction with Various Levels of pH in IoT Environment. -- Deep Multi-time Visualization and Analytics for E-commerce Platform. -- Lightweight Distributed Ledger Technology and Consensus Algorithms for D2D Communication. -- Evaluating the Effectiveness of Machine Learning Algorithms for Network Intrusion Detection. -- IoT System intrusion detection with XGBoost optimized by modified metaheuristics. -- Spammer Groups Detection in Online Reviews: A Novel Approach Using FP-Growth and Behavioral Features. -- Encoder - Based Trusted Routing Algorithm for Underwater Wireless Sensor Networks. -- Development of Blockchain Integrated Agricultural Land Lease Framework with a Voting-Based Consensus Protocol Using Event-B. -- A Post Quantum Key Policy Attribute Based Encryption Scheme from Code Based Cryptographic Assumptions. -- Edge AI to Edge Robotics: Enhancing Human Pose Estimation with High-Performance TPU Computing. -- Task scheduling in distributed real-time systems using hybrid model based on ACO-GA. -- Enhancing Box Type Solar Cooker Performance with Optimal Reflecting Sidewall Angles using Genetic Algorithm. |
| Record Nr. | UNINA-9910986145103321 |
|
Verma Anshul
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Network Technologies and Intelligent Computing : 4th International Conference, ANTIC 2024, Varanasi, India, December 19–21, 2024, Proceedings, Part III / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Rajkumar Buyya, Dipankar Dasgupta
| Advanced Network Technologies and Intelligent Computing : 4th International Conference, ANTIC 2024, Varanasi, India, December 19–21, 2024, Proceedings, Part III / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Rajkumar Buyya, Dipankar Dasgupta |
| Autore | Verma Anshul |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (665 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
VermaPradeepika
PattanaikKiran Kumar BuyyaRajkumar DasguptaDipankar |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Software engineering Cryptography Data encryption (Computer science) Coding theory Information theory Computer Engineering and Networks Software Engineering Cryptology Computer Communication Networks Coding and Information Theory |
| ISBN |
9783031837937
3031837932 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Intelligent Computing. -- A Novel Approach to Handle Imbalanced Code-Mixed Languages Using SMOTE-ENN during Stratified Cross Validation. -- Intelligent Seasonal Air Quality Prediction with Machine Learning Models: Enhancing Performance through Polynomial Regression and Bayesian Optimization. -- Process for Evaluating the Content of Forms for the Evaluation and Validation of Quality Assurance and Control Frameworks in Data Science Projects. -- Real-Time Automated Pothole Detection and Localization with Deep Learning and Geolocation Integration for Improved Road Safety and Maintenance. -- Entropy based Embedded Unsupervised Feature Selection. -- Analysing the variation between Univariate forecasting and Multivariate forecasting using macroeconomic factors, for stock price prediction. -- Optimizing Vehicle Emissions: Identifying High-Impact Vehicles and Exploring Sustainable Fuel Options. -- Sign language recognition using convolutional neural network. -- Fake News Detection Using Large Language Models. -- Lunar Crater Detection using Customized YOLOv8 model. -- Deep Learning Techniques for Pneumonia Detection on Chest X-Ray Images. -- Optimized LeNET based CNN and Convolutional BLSTM with He Initialization for Character-Level Classification in Tal-Patra Manuscripts. -- Exploring the Use of Social Robots as a Game Associate in the Health Sector: A Systematic Review. -- Evaluating the Efficiency of FSL Models in the Diagnosis of Kyasanur Forest Disease. -- Financial Decision Support System for Small and Medium-sized Enterprises. -- Adaptive Backpropagation Algorithm using N-Sigmoid and N-Weight Updation Rule for 3D LiDAR Point Cloud Compression. -- Learning to Integrate Dynamic Knowledge for Enhanced Response Generation in Multi Domain Dialogue System. -- QUANTUM-ENABLED (QeSVM) FACIAL EXPRESSION IDENTIFICATION OF AUTISTIC CHILDREN. -- High-Capacity Coverless Steganography Using Pixel Gradient Analysis. -- Citation Based Scientific Document Summarization using Deep Learning. -- Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach. -- Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset. -- Enhanced Multilingual Sentiment Analysis Using Hybrid CNN-GRU Deep Learning Architecture. -- Fine-tuning and Efficacy Assessment of BERT-Based Models in Detecting Early Signs of Depression. -- AI-Powered Reverse Logistics: A Pathway to Sustainable Supply Chains. -- Data Augmentation of Gujarati Texts for Sentiment Analysis. -- Resource-Aware Arabic LLM Creation: Model Adaptation, Integration, and Multi-Domain Testing. -- Data to Decisions: A Computational Framework to Identify Skill Requirements from Advertorial Data. -- Priority-Based Weighted Constrained Crowd Judgement Analysis with Quantum Genetic Algorithm. -- A Novel Efficient Approach for Feature Selection for Enhanced Performance in Breast Cancer Prediction. |
| Record Nr. | UNINA-9910986128603321 |
|
Verma Anshul
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||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part I / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang
| Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part I / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang |
| Autore | Verma Anshul |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (421 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
VermaPradeepika
PattanaikKiran Kumar DhurandherSanjay Kumar WoungangIsaac |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Cryptography Data encryption (Computer science) Software engineering Coding theory Information theory Computer Engineering and Networks Cryptology Software Engineering Coding and Information Theory Computer Communication Networks |
| ISBN | 3-031-64076-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Advanced Network Technologies. -- Performance Improvement for Energy-Efficient CSS with Optimized Cognitive Users over Fading Channels. -- Optimizing WiMAX Network Performance with IP Security: An Evaluation of TCP and UDP Applications. -- Enhancement of Security in Opportunistic Networks. -- Design and Implementation of Smart Meter for Bilateral Transaction of Solar Energy. -- Optimizing Task Completion Rate in Multi-User Edge Intelligence Networks through Neural Network-based Energy Management with Partitioning and Offloading. -- Efficient Task Offloading in IoV using DDPG and MEC with RIS Support. -- Vacation Recommendation System Using New York Times Articles. -- Analysis of Different Measures of Centrality to Identify Vital Nodes in Social Networks. -- Performance Analysis of Software-Defined Network (SDN) via POX Controller Simulation in Mininet. -- Simulation and Comparison of BB84 and SSP99 QKD Protocols. -- IoT and Machine Learning-based Monitoring of the Growth of Crops Using Blockchain Technology. -- Determining the Impact of Metallic Obstacles on Blue-tooth Transmission to enhance Indoor Location Determination. -- Optimizing Crop Yield through IoT-Based Smart Irrigation with Fuzzy Control. -- Fusion of Chi-square and Z-test statistics for Feature Selection with Machine Learning Techniques in Intrusion Detection. -- Smart Bakery: Technology and Automation. -- An experimental study on Estimation of Reliability of a Computer Network for the network of Delhi Development Authority: A Study on Challenges, Experiment and its results, Potential Future Avenues and Significance of Ongoing Research. -- An Effective Virtual Machine Allocation in Federated Cloud by PARAMR-DNN Technique. -- Intrusion Watchdog: Enhancing Intrusion Detection System with Machine Learning using 3-way Feature Selection Technique. -- Phishing URLs Detection Method using Hybrid Feature and Convolutional Neural Networks with Attention Mechanisms. -- Exploring Multi-Attribute Selection Strategies for Effective Phishing Detection with Machine Learning. -- Zero-day exploits framework of supply chain networks. -- SMASK: Parallel Probabilistic Privacy-Preserving Frequent Pattern Mining Technique for Big Data. -- SMAKMS_FC: Secure Mutual Authentication and Key Management Scheme for Fog Computing. -- Comparative Analysis on Network Attack Prediction Used Deep Learning Approaches on Software Security Testing. -- DNA-Based Elliptic Curve Cryptography for Data Security in IoT. |
| Record Nr. | UNINA-9910879585003321 |
|
Verma Anshul
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang
| Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang |
| Autore | Verma Anshul |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (417 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
VermaPradeepika
PattanaikKiran Kumar DhurandherSanjay Kumar WoungangIsaac |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Software engineering Cryptography Data encryption (Computer science) Coding theory Information theory Computer Engineering and Networks Software Engineering Cryptology Computer Communication Networks Coding and Information Theory |
| ISBN | 3-031-64070-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Intelligent Computing. -- Implementation and Performance Evaluation of Deep Learning Models for Disease Classification and Severity Estimation of Coffee Leaves. -- Flow-Optimized Channel-Attentive Excitation DenseNet Algorithm for Multi-Disease Classification and Severity Estimation. -- Image Captioning using Deep Learning. -- Visualizing Optimal Classifiers in EEG-Based Sleepy Driver Prediction. -- Revolutionizing Glaucoma Diagnosis with a Hybrid AI Algorithm. -- Unravelling Crop Yield Secrets Through Identification of Significant Factors Using Machine Learning. -- Comparative Analysis of Short-Term Load Forecasting Using K-Nearest Neighbor, Random Forest, and Gradient Boost Models. -- Heuristics for Influence Maximization with Tiered Influence and Activation thresholds. -- Sentiment Analysis and Offensive Language Identification In Code-Mixed Tamil-English Languages Using Transformer-based Models. -- Performance evaluation of Deep Transfer Learning and Semantic Segmentation models for crop and weed detection in the Sesame Production System. -- Machine Learning Analysis on Hate Speech against Asians. -- Deep Transfer Learning for Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approach. -- Sustainable Natural Gas Price Forecasting with DEEPAR. -- Whale Optimized Deep Learning Technique for Accurate Skin Cancer Identification. -- Multi-Domain Feature Extraction Methods for Classification of Human Emotions from Electroencephalography (EEG) Signals. -- Enhancing Speech Quality using Spectral Subtraction and Time-Frequency Filtering. -- Analyzing the performance of BERT for the sentiment classification task in Bengali text. -- Student’s Performance Prediction using Decision Tree Regressor. -- A Comprehensive Analysis on Features and Performance Evaluation Metrics in Audio-Visual Voice Conversion. -- Time Series Analytic Models for Forecasting Vehicular Registration Volume in the Indian Context. -- Impact of Clinical Features on Disease Diagnosis using Knowledge Graph Embedding and Machine Learning: a Detailed Analysis. -- Advancements in Alzheimer's Disease Diagnosis: The MRI-CNN Synergy for Early Detection. -- Drinking Addiction Predictive Model Using Body Characteristics Machine Learning Approach. -- An Ensemble of Machine Learning Models Utilizing Deep Convolutional Features for Medical Image Classification. |
| Record Nr. | UNINA-9910879592203321 |
|
Verma Anshul
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part II / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang
| Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part II / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang |
| Autore | Verma Anshul |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (389 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
VermaPradeepika
PattanaikKiran Kumar DhurandherSanjay Kumar WoungangIsaac |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Cryptography Data encryption (Computer science) Software engineering Coding theory Information theory Computer Engineering and Networks Cryptology Software Engineering Computer Communication Networks Coding and Information Theory |
| ISBN | 3-031-64064-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Advanced Network Technologies. -- An Insider Threat Resilient Framework Based on Honey Traps in a Function-Based Access Control Environment. -- Performance comparison of QoS aware power allocation and optimization techniques for the small-cell 5G networks. -- Reduced Competitive ratio of Sparse Semi-oblivious routing using social spider algorithm. -- Underwater Wireless Sensor Network Based on Mulithop Transmission using Ant Colony Optimization Algorithm. -- Detection of Malicious Network Traffic Attacks using Support Vector Machine. -- IoT Based Safety Monitoring and Communication System for Underground Coal Mines. -- Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning. -- A Comparative Study of Low Power Wide Area Network Technologies for Smart Agriculture. -- OpenGNN: Augmenting Graph Neural Networks for Open-Set Node Prediction in Complex Networks. -- Optimizing Amazon SageMaker Workloads with Predictive Compute Type Selection Strategies. -- Threshold Based VM Placement Using MAD and IQR. -- On Designing an Intelligent Shipping Algorithm for Decentralized E-Commerce Systems. -- PwnShield: An Automated Approach To Detect And Exploit Buffer Overflows And Bypassing Modern Mitigation Techniques. -- Analysis of the Impacts of Flooding-based DDoS Attacks on SDN-enabled Cloud. -- Tree Topologies and Node Covers for Efficient Communication in Wireless Sensor Networks. -- Binary Computation Offloading in Edge Computing using Deep Reinforcement Learning. -- Data Agent-Based Volumetric Progress Monitoring over Mobile Ad-hoc Network in Disaster Management. -- Intelligent Computing. -- Deep Neural Networks for efficient Image Caption Generator. -- Computing Social Presence in Online Discussions Using Natural Language Processing Algorithms: A Conceptual Proposal in Python. -- Applications of Data Science and Machine Learning for Combating COVID-19. -- Hate Speech Detection in Audio using SHAP - An Explainable AI. -- Distributed Random Forest for Predicting Forest Wildfires Based on Weather Data. -- Audio-text Retrieval: Exploring Shared Parameters and Intra-Modal Constraint Loss. -- Grey Wolf Optimization based Hyper-Parameter Optimized Deep EfficientNet for Chest X-Ray based Detection of COVID-19. -- An Assorted Ensemble Method for Prediction of Terminal Care Preference by Caregivers of Alzheimer’s Victims. |
| Record Nr. | UNINA-9910879595803321 |
|
Verma Anshul
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part IV / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang
| Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part IV / / edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang |
| Autore | Verma Anshul |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (400 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
VermaPradeepika
PattanaikKiran Kumar DhurandherSanjay Kumar WoungangIsaac |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Software engineering Cryptography Data encryption (Computer science) Coding theory Information theory Computer Engineering and Networks Software Engineering Cryptology Computer Communication Networks Coding and Information Theory |
| ISBN | 3-031-64067-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Intelligent Computing. -- Neural Network Approach for Early detection of Sugarcane Diseases. -- Enhanced Residual Network Framework for Robust Classification of Noisy Lung Cancer CT Images. -- Single-Cell Drug Perturbation Prediction Using Machine Learning. -- Underwater Image Enhancement using Convolutional Neural Network and the MultiUnet Model. -- A hybrid time series model for the spatio-temporal analysis of air pollution prediction based on PM2.5. -- Detection of Lung Diseases Using Deep Transfer Learning-Based Convolution Neural Networks. -- DG-GAN: A Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos. -- Auto-LVEF: A novel method to determine Ejection Fraction from 2D echocardiograms. -- Phishing Detection in Browser-In-The-Middle: A Novel Empirical Approach Incorporating Machine Learning Algorithms. -- Feature Engineering for Predicting Consumer Purchase Behavior: A Comprehensive Analysis. -- Enhanced Simulation of Collision Events Using Quantum GANs for Jet Images Generation. -- Class imbalance learning using Fuzzy SVM with Fuzzy Weighted Gaussian Kernel. -- Material Handling Cost (MHC) Minimization through Facility Layout Design (FLD) Using Genetic Algorithm (GA) combined with the Particle Swarm Optimization (PSO) Method. -- Detecting ADHD among children using EEG signals. -- Enhancing Skin Cancer Classification with Ensemble Models. -- Efficient real-time Sign Detection for Autonomous Vehical in Hazy environment using Deep Learning Models. -- Kannada Continuous Speech Recognition using Deep Learning. -- A new type of classification algorithm inspired by the chromatographic separation mechanism. -- Comparative Analysis of ELM and Sparse Bayesian ELM for Healthcare Diagnosis. -- Integration of Generative AI and Deep Tabular Data Learning Architecture for Heart Attack Prediction. -- Navigating the Domain Shift: Object Detection in Indian Road Datasets with Limited Data. -- An Efficient Hybrid Algorithm with Novel Inver-over Operator and Ant Colony Optimization for Traveling Salesman Problem. -- Sparsity Analysis of New Biased Pearson Similarity Measure for Memory Based Collaborative Filtering. -- Advancing Medical Predictive Models with Integrated Approaches. |
| Record Nr. | UNINA-9910879596203321 |
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Verma Anshul
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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