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International Conference on Computing and Communication Networks (2023 :)

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Proceedings of third International Conference on Computing and Communication Networks = ICCCN 2023.. Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of third International Conference on Computing and Communication Networks/ edited by Giancarlo Fortino ... [et al.].
其他題名:	ICCCN 2023.
其他題名:	ICCCN 2023
其他作者:	Fortino, Giancarlo.
團體作者:	International Conference on Computing and Communication Networks
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xxxi, 785 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Computer networks - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-97-0892-5
ISBN:	9789819708925

Proceedings of third International Conference on Computing and Communication Networks = ICCCN 2023.. Volume 1 /
Proceedings of third International Conference on Computing and Communication NetworksICCCN 2023.Volume 1 /[electronic resource] :ICCCN 2023edited by Giancarlo Fortino ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xxxi, 785 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 9172367-3389 ;. - Lecture notes in networks and systems ;v. 917..

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.

This book includes selected peer-reviewed papers presented at third International Conference on Computing and Communication Networks (ICCCN 2023), held at Manchester Metropolitan University, UK, during 17-18 November 2023. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.

ISBN: 9789819708925

Standard No.: 10.1007/978-981-97-0892-5doiSubjects--Topical Terms:

569849
Computer networks
--Congresses.

LC Class. No.: TK5105.5

Dewey Class. No.: 004.6

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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.
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