Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part I /
This two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.* The 103 full papers were carefully reviewed and selected from 781 submissions. The papers in Part I and...
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| Other Authors: | , , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Communications in Computer and Information Science,
1440 |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT
- Fund Utilization under Parliament Local Development Scheme: Machine Learning base Approach
- Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach
- Blockchain based Framework to Maintain Chain of Custody (CoC) in a Forensic Investigation. - A light SRGAN for Up-Scaling of Low Resolution and High Latency Images
- Energy Efficient Clustering Routing Protocol and ACO Algorithm in WSN
- Efficient Social Distancing Detection using Object Detection and Triangle Similarity
- Explaining a Black-Box Sentiment Analysis Model with Local Interpretable Model Diagnostics Explanation (LIME)
- Spelling Checking and Error Corrector System for Marathi Language Text using Minimum Edit Distance Algorithm
- A Study on Morphological Analyser for Indian Languages : A Literature Perspective
- Cyber Safety Against Social Media Abusing
- Predictive Rood Pattern Search for Efficient Video Compression
- An Effective Approach For Classifying Acute Lymbphoblastic Luekemia Using Hybrid Hierarchial Classifiers
- Abnormal Blood Vessels Segmentation for Proliferative Diabetic Retinopathy Screening Using Convolutional Neural Network. - Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate
- Live stream processing techniques to assist unmanned, regulated railway crossings
- Most Significant Bit-Plane based Local Ternary Pattern for Biomedical Image Retrieval
- Facial Monitoring Using Gradient Based Approach
- Overlapped Circular Convolution based feature extraction algorithm for classification of high dimensional datasets
- Binary Decision Tree Based Packet Queuing Schema for Next Generation Firewall
- Automatic Tabla Stroke Source Separation Using Machine Learning
- Classification of Immunity Booster Medicinal Plants using CNN: A Deep Learning Approach
- Machine Learning Model Interpretability in NLP and Computer Vision Applications
- Optimal Sizing and Siting of Multiple Dispersed Generation System using Metaheuristic Algorithm
- Design of a Fused Triple Convolutional Neural Network for Malware Detection: A Visual Classification Approach
- Mobile Agent Security using Lagrange Interpolation with Multilayer Perception Neural Network
- Performance Analysis of Channel coding techniques for 5G networks
- An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product
- A Study on Energy-Aware Virtual Machine Consolidation Policies in Cloud Data Centers using Cloudsim Toolkit
- Predicting Insomnia Using Multilayer Stacked Ensemble Model. - A novel encryption scheme based on Fully Homomorphic Encryption and RR-AES along with privacy preservation for vehicular network
- Key-Based Decoding for Coded Modulation Schemes in the presence of ISI
- Optimizing the Performance of KNN Classifier for Human Activity Recognition
- Face Recognition with Disguise and makeup Variations Using Image Processing and Machine Learning
- Attention-based deep Fusion Network for Retinal Lesion Segmentation in Fundus Image
- Visibility improvement in hazy conditions via a deep learning based image fusion approach
- Performance of Reinforcement Learning Simulation: x86 v/s ARM
- A Performance Study of Probabilistic Possibilistic Fuzzy C-Means Clustering Algorithm
- Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease
- Machine Learning Based Techniques for Detection of Renal Calculi in Ultrasound Images
- Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer Learning
- Biological Sequence Embedding based Classification for MERS and SARS
- Supply Path Optimization in Video Advertising Landscape
- Stack-based CNN Approach to Covid-19 Detection
- Performance Analysis of Various Classifiers for Social Intimidating Activities Detection
- Technique for Enhancing the efficiency and security of lightweight IoT devices
- Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification using Spectrogram
- Performance Analysis of Machine Learning Techniques in Device Free Localization in Indoor Environment
- D-Leach: An Energy Optimized Deterministic Sub-clustering and Multi-hop Routing Protocol for Wireless Sensor Networks
- Robust Image Watermarking Using Support Vector Machine and Multi-Objective Particle Swarm Optimization
- Generalized Intuitionistic Fuzzy Entropy on IFMARCOS Technique and its Application in Multi-Criteria Decision Making
- Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics
- Rainfall Prediction using Logistic Regression and Support Vector Regression Algorithms
- Collaborative Recommender System (CRS) using optimized SGD - ALS
- Violence Detection from CCTV Footage using Optical Flow and Deep Learning in inconsistent weather and lighting conditions
- Speech based Multiple Emotion Classification model using Deep Learning
- A Legal-Relationship Establishment in Smart Contracts: Ontological Semantics for Programming-Language Development
- Aspect Based Sentiment Analysis - An Incremental Model Learning Approach Using LSTM-RNN
- Cloud based Exon Prediction using Maximum Error Normalized Logarithmic Algorithms
- Unsupervised Learning of Visual Representations via Rotation and Future Frame Prediction for Video Retrieval
- Application of Deep Learning in Classification of Encrypted Images
- Ear Recognition Using Pretrained Convolutional Neural Networks
- An Adaptive Service Placement Framework in Fog Computing Environment
- Efficient Ink Mismatch Detection Using Supervised Approach.