Theory and methods -- NAARPreC: A Novel Approach for Adaptive Resource Prediction in Cloud -- One True Pairing: Evaluating Effective Language Pairings for Fake News Detection Employing Zero-Shot Cross Lingual Transfer -- FedCLUS: Federated Clustering from Distributed Homogeneous Data -- On Language Clustering: Non-parametric Statistical Approach -- Method Agnostic Model Class Reliance (MAMCR) Explanation of Multiple Machine Learning Models -- Association Rules based Feature Extraction for Deep Learning Classification -- Global Thresholding Technique for Basal Ganglia Segmentation from Positron Emission Tomography Images -- Oversampling Methods to Handle the Class Imbalance Problem: A Review -- Analog Implementation of Neural Network -- Designing Fog Device Network for Digitization of University Campus -- Word Sense Disambiguation from English to Indic language: Approaches and Opportunities -- Explainable AI for Predictive Analytics on Employee Attrition -- Graph Convolutional Neural Networks for Nuclei Segmentation from Histopathology Images -- Performance Analysis of Cache Memory in CPU -- Extraction of Single Chemical Structure from Handwritten Complex Chemical Structure with Junction Point Based Segmentation -- Automatic Mapping of Deciduous and Evergreen Forest by Using Machine Learning and Satellite Imagery -- Systems and Applications -- RIN: Towards A Semantic Rigorous Interpretable Artificial Immune System for Intrusion Detection -- SVRCI: An Approach for Semantically Driven Video Recommendation Incorporating Collective Intelligence -- Deep Learning based Model for Fundus Retinal Image Classification -- Reliable Network-Packet Binary Classification -- SemKnowNews: A Semantically Inclined Knowledge Driven Approach for Multi-Source Aggregation and Recommendation of News with a focus on Personalization -- Extraction and Analysis of Speech Emotion Features using Hybrid Punjabi Audio Dataset -- Human Activity Recognition in Videos using Deep Learning -- Brain Tumor Classification using VGG-16 and MobileNetV2 Deep Learning Techniques on Magnetic Resonance Images (MRI) -- Five-Year Life Expectancy Prediction of Prostate Cancer Patients Using Machine Learning Algorithms -- An Ensemble MultiLabel Classifier for Intra-Cranial Haemorrhage Detection from Large, Heterogeneous and Imbalanced Database -- A Method for Workflow Segmentation and action prediction from video data - AR Content -- Convolutional Neural Network Approach for Iris Segmentation -- Reinforcement Learning Algorithms for Effective Resource Management in Cloud Computing -- Corpus Building for Hate Speech Detection of Gujarati Language -- Intrinsic use of Genetic Optimizer in CNN Towards Efficient Image Classification -- A Software System for Smart Course Planning -- Meetei Mayek Natural Scene Character Recognition using CNN -- Utilization of Data Mining Classification Technique to Predict the Food Security Status of Wheat -- Hybrid Techniques -- QoS-Aware Service Placement for Fog Integrated Cloud using Modified Neuro-Fuzzy Approach -- Optimizing Public Grievance Detection Accuracy through Hyperparameter Tuning of Random Forest and Hybrid Model. .

This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2022, held in Changa, Anand, India during December 9-10, 2022. The 33 full papers and 3 short papers included in this book were carefully reviewed and selected from 342 submissions. They were organized in topical sections as follows: Theory and Methods; Systems and Applications; and Hybrid Techniques.