Machine learning, image processing, network security and data sciences : second International Conference, MIND 2020, Silchar, India, July 30-31, 2020, Proceedings. Part II / Arup Bhattacharjee, Samir Kr. Borgohain, Badal Soni, Gyanendra Verma, Xiao-Zhi Gao (eds.)
Mining composite fuzzy association rules among nutrients in food recipe -- Evaluation of multiplier-less DCT transform using in-exact computing -- Legal amount recognition in bank cheques using capsule networks -- Log periodic power law fitting on Indian stock market -- An automated algorithm for estimating respiration rate from PPG signals -- Phonemes : an explanatory study applied to identify a speaker -- Nutritional status prediction in neonate using machine learning techniques : a comparative study -- Handwritten Bengali character recognition using deep convolution neural network -- Lexical feature based feature selection and phishing URL classification using machine learning techniques -- Feature selection using PSO : a multi objective approach -- An empirical study to predict myocardial infarction using K-means and hierarchical clustering -- A robust technique for end point detection under practical environment -- An explainable machine learning appraoch for definition extraction -- Steps of pre-processing for English to Mizo SMT system -- Efficient human feature recognition process using Sclera -- Optimization of local ordering technique for nearest neighbour circuits -- Attention-based English to Mizo neural machine translation -- In depth analysis of lung disease prediction using machine learning algorithms -- Improving the accuracy of heart disease predictions using machine learning and feature selection techniques -- Convolutional neural network based sound recognition methods for detecting presence of amateur drones in unauthorized zones -- Comparison of different decision tree algorithms for predicting the heart disease -- Dynamic speech trajectory based parameters for low resource languages -- Identification and prediction of Alzheimer based on biomarkers using machine learning -- Solving quadratic assignment problem using Crow search algorithm in accelerated systems
Speech signal analysis for langauge identification using tensors -- Effective removal of baseline wander from ECG signals : a comparative study -- Face recognition based on human sketches using fuzzy minimal structure oscillation in the SIFT domain -- An ensemble model for predicting passenger demand using taxi data set -- A novel appraoch to synthesize Hinglish text to English tet -- Comparative analysis of neural models for abstractive text summarization -- Fraud detection in credit card data using machine learning techniques -- Res-VGG : a novel model for plant disease detection by fusing VGG16 and ResNet modles -- A novel algorithm for salient region detection -- Exploiting topic modelling to classify sentiment from lyrics -- Crucial gene identification for esophageal squamous cell carcinoma using differential expression analysis -- HRV signal feature estimation and classification for healthcare system based on machine learning -- Securing face recognition system using blockchain technology -- A hybrid symmetric key cryptography method to provided secure data transmission -- Trust-based detection of malicious nodes for wireless mesh networks -- Evidence building for ad click or web access on cloud -- Security analysis of MITM attack on SCADA network -- A large-scale investigation to identify the pattern of app component in obfuscated Android malwares -- An AHP-TOPSIS based framework for the selection of node ranking techniques in complex networks
Security enhancement of IoT based smart home using hybrid techniques -- Insider threat detection based on user behaviour analysis -- Layer-2 performance analysis of LTE-A and HetNets for 5G networks -- Placement issues in network function virtualization -- A novel graph based approach to predict Man of the Match for cricket -- Construction of identity based signcryption using learning with rounding -- Deep detection of anomalies in static attributed graph
Summary
This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to July 2020. The 79 full papers and 4 short papers were thoroughly reviewed and selected from 219 submissions. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cyber security
Notes
International conference proceedings
Includes author index
Bibliography
Includes bibliographical references and author index
