| Autore |
Fortino Giancarlo
|
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
|
| Descrizione fisica |
1 online resource (786 pages)
|
| Disciplina |
621.382
|
| Altri autori (Persone) |
KumarAkshi
SwaroopAbhishek
ShuklaPancham
|
| Collana |
Lecture Notes in Networks and Systems
|
| Soggetto topico |
Telecommunication
Signal processing
Computer networks - Security measures
Quantitative research
Communications Engineering, Networks
Signal, Speech and Image Processing
Mobile and Network Security
Data Analysis and Big Data
|
| ISBN |
9789819708925
9789819708918
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Multiscale Feature Pyramid Network-enabled Deep Learning and IoT-based Pest Detection System Using Sound Analytics in Large Agricultural Field -- Detection of Wormhole attacks using DCNNBiLSTM model to secure the MANET -- Enhancing Security in Wireless Sensor Networks: A Broadcast/Multicast Authentication Framework with Identity-Based Signature Schemes -- TSFTO: a Two Stage Fuzzy based Tasks Orchestration Algorithm for Edge and Fog Computing Environments -- Tracking Climatic Variations through Smart IoTdrivenApproach:An Exploratory Analysis -- Design and Manufacturing of an Efficient Low-Cost Fire Alarm System Based on GSM Communications and IoT Technology -- A Comparative Analysis of Optimised Routing Protocols for High-Performance Mobile Ad-Hoc Networks -- Integrating Sandpiper Optimization Algorithm and Secure Aware Routing Protocol for Efficient Cluster Head Selection in Wireless Sensor Networks -- The Effects of Weather Conditions on Data Transmission in Free Space for Wireless Sensor Networks -- Using Wireless Sensor Network Performance and Optimizing in underground Mines with Virtual MIMO antenna -- A Novel Logistic Regression based Fire Detection Model using IoT in Underground Coal Mines -- An MQTT IoT Intrusion Detection System using Deep-Learning -- Multi-Objective Optimal Feature Selection for Cyber Security integrated with Deep Learning -- Application of Gradient Boosting Classifier based ComputationalIntelligence to detect Drug Addiction threat in society -- INSURANCE 4.0: SMART INSURANCE TECHNOLOGIES AND CHALLENGES AHEAD -- Review on Vision Transformer for Satellite Image Classification -- Primitive Roots and Euler Totient Function based Progressive Visual Cryptography -- An Approach for Fire Detection Using Image Processing -- A Review of Various Approaches for Authorship Identification in Digital Forensics -- The change weight of threat in network security communication based on analysis of multisource data -- Machine Learning Model for Traffic Prediction and Pattern Extraction in High Speed Optical Networks -- Improved Markov Decision Process in Wireless Sensor Network for Optimal Energy Consumption -- Design and Implementation of a Hybrid Deep learning Framework for Handwritten Text Recognition -- A LSTM based intelligent framework for Financial Stock Prediction -- Mispronunciation Detection Using Feature Learning -- Annotating social data with speaker/user engagement. Illustration on online hate characterization in French -- Heuristic Learning Models based Stochastic Regularization Technique for Reducing the Overfit of Training Data -- Convolution Neural Network Vs Transfer Learning in Image Classification -- Unveiling Consumer Segmentation: Harnessing K means Clustering using Elbow and Silhouette for Precise Targeting -- Multimodal Sentiment Analysis and Multimodal Emotion Analysis: A Review -- A Deep Dive into Brain Computer Interface -- Climatic Variables Assessment in a Smart SensoryEnabled Setting -- Towards Improved Clustering for Textual Data -- Self-Adaptive Learning Algorithm as a Tool for the Development and Strengthening of the dyslexic Student's Skills in the Study of Musical Composition -- Digital-Game-Based Language Learning: An Exploration of Attitudes among Teacher Aspirants in a Non-Metropolitan Area -- A Unified Approach for Identification and Analysis of the Sources of Uncertainty in Machine Learning Techniques -- Sentiment Analysis of Tweets associated with TurkeySyria Earthquakes 2023 -- Ensemble Classification with Lazy Predict on Three Diabetes Datasets: A Comparative Study with Resampling Techniques -- Employee Attrition Prediction using Ensemble Methods -- Measuring Bias in Generated Text using Language Models- GPT-2 and BERT -- A Certain Investigation on Under Sea Water Image Object Detection and Classification Using Artificial Intelligence Algorithms -- DDoS Cyber-Attacks Detection-Based Hybrid CNN-LSTM -- Proposed Multilevel Secret Images Sharing Scheme -- Image Captioning System for Movie Subtitling using Neural Networksand LSTM -- Semantic Application based on the Bhagavad Gita: A Deep Learning Approach -- RMODCNN: A Novel Plant Disease Prediction Framework -- Refined Human-Computer Interaction: Enhancing Efficiency and Collaboration -- The Impact Of Data Valuation On Feature Importance In Classification Models -- Evaluating Machine Learning Algorithms for New Indian Parliament Building Sentiment Analysis -- Track 2: Advances In Artificial Intelligence And Machine Learning Adoption of Artificial Intelligence in Business Operations of Technology Firms -- An Artificial Intelligence Approach to Quantifying Exercise Form for Optimal Performance and Injury Prevention -- Predicting Content Popularity on Social Media: An Analytical Approach using Regression Modeling -- Hybrid Encryption Algorithm: AES and PRESENT lightweight with a chaotic system(PHEPA-AES) -- Improving Network Intrusion Detection with Convolutional Neural Networks and Data Balancing Techniques -- MbAbI: A Benchmark Dataset for Malayalam Text Understanding and Reasoning -- A Novel Approach to Image Restoration and Image Enhancement -- Smart Helmet With Crash Detection -- Digital Payment Systems and Financial Inclusion: Examine How Digital Payment Systems, Such As Mobile Wallets and Digital Currencies, Can Improve Financial Inclusion by Providing Access to Banking Services for the Unbanked and Underbanked Population -- Enhanced Prediction of Breast Cancer using Machine Learning Ensemble Models and Techniques -- Enhancing Adaptive E-Learning with Generative AI: Expanding the Horizon Beyond Recommendation Systems -- A Fusion Framework of Pre-Trained Deep Learning Models for Oral Squamous Cell Carcinoma Classification.
|
| Record Nr. | UNINA-9910874658503321 |
Info
Proceedings of the 4th Edition of the Upgrade-Cn Workshop on Use of P2P, Grid and Agents for the Development of Content Networks
