Dharmendra Sharma
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View article: Ensemble Learning Classifiers and Hybrid Feature Selection for Enhancing Intrusion Detection System Performance
Ensemble Learning Classifiers and Hybrid Feature Selection for Enhancing Intrusion Detection System Performance Open
Network environments must be protected against a variety of cyber-attacks using IDS. The advancement of ML methodologies has yielded notable improvements in intrusion detection system (IDS) capabilities, including greater real-time analysi…
View article: Sustainability Through Connectivity: IoT Influence on Agriculture
Sustainability Through Connectivity: IoT Influence on Agriculture Open
Today’s smart farming has ushered in a new era of agriculture, one where information and communication technologies seamlessly integrate with the latest equipment in machinery and sensors based in high-tech farming systems. This tran…
View article: Personalized Recommendation System: Web of Things Using Modular Density-Based Community Discovery
Personalized Recommendation System: Web of Things Using Modular Density-Based Community Discovery Open
Community discovery is the cornerstone and core of study in customized recommendation, assembling group features and social network analysis on the web of things. Conventional community discovery methods, however, struggle with difficultie…
View article: PLLM-CS: Pre-trained Large Language Model (LLM) for Cyber Threat Detection in Satellite Networks
PLLM-CS: Pre-trained Large Language Model (LLM) for Cyber Threat Detection in Satellite Networks Open
Satellite networks are vital in facilitating communication services for various critical infrastructures. These networks can seamlessly integrate with a diverse array of systems. However, some of these systems are vulnerable due to the abs…
View article: Retrospective Observational Study on Relevance of Delayed Clinical Examination in Cases of Sexual Assault Survivor
Retrospective Observational Study on Relevance of Delayed Clinical Examination in Cases of Sexual Assault Survivor Open
Rape is a heinous crime that can have devastating effects on the survivor, The immediate medical examination and treatment of a rape survivor are crucial for their well-being and to-gather the necessary evidence to strengthen the case. Pro…
View article: A Drug-Target Interaction Prediction Based on Supervised Probabilistic Classification
A Drug-Target Interaction Prediction Based on Supervised Probabilistic Classification Open
Bayesian ranking-based drug-target relationship prediction has achieved good results, but it ignores the relationship between drugs of the same target. A new method is proposed for drug-target relationship prediction based on groups by App…
View article: An Analytical Survey of Difficulty Faced in an Online Lecture During COVID-19 Pandemic Using CRISP-DM
An Analytical Survey of Difficulty Faced in an Online Lecture During COVID-19 Pandemic Using CRISP-DM Open
COVID-19 has greatly disturbed life in many ways and has changed the way we live. Various surveys have been conducted in different fields, and the teaching-learning process has been affected to a great extent. During this pandemic, various…
View article: Feature Map Augmentation to Improve Scale Invariance in Convolutional Neural Networks
Feature Map Augmentation to Improve Scale Invariance in Convolutional Neural Networks Open
Introducing variation in the training dataset through data augmentation has been a popular technique to make Convolutional Neural Networks (CNNs) spatially invariant but leads to increased dataset volume and computation cost. Instead of da…
View article: Do Religious Values Influence the Decision of Saudi Arabian Public Sector Employees to Adopt Government Resource Planning Systems?
Do Religious Values Influence the Decision of Saudi Arabian Public Sector Employees to Adopt Government Resource Planning Systems? Open
This research aims to investigate the impact of religious values on the adoption of Government Resource Planning (GRP) systems by public sector employees in Saudi Arabia. The study also explores the impact of demographic characteristics as…
View article: Feature Map Upscaling to Improve Scale Invariance in Convolutional Neural Networks
Feature Map Upscaling to Improve Scale Invariance in Convolutional Neural Networks Open
Kondisi keuangan negara mempengaruhi keuangan proyek konstruksi.
\nHal ini terjadi pada proyek-proyek yang dibiayai oleh pemerintah.
\nWalaupun demikian, sektor swasta juga tidak lepas dari pengaruh
\nkeuangan negara karena kebanyakan proy…
View article: Making MIC Work for You: Utilizing PK and PD Parameters
Making MIC Work for You: Utilizing PK and PD Parameters Open
MIC or MBC has been used as indicator of antibiotic potency towards a pathogen and as surrogate marker for clinical efficacy when the selected antibiotic is used in the patient, but these parameters are static measures and do not adequatel…
View article: 4 Intuitionistic fuzzy trigonometric distance and similarity measure and their properties
4 Intuitionistic fuzzy trigonometric distance and similarity measure and their properties Open
In this chapter, we introduce the concept of intuitionistic fuzzy sets (IFS). Similarity and distance measures between IFS are explained and also extended these measures to IFSs. Some new trigonometric similarity and distance measures of I…
View article: A Semi-supervised Learning Approach to Forecast CPU Usages under Peak Load in an Enterprise Environment
A Semi-supervised Learning Approach to Forecast CPU Usages under Peak Load in an Enterprise Environment Open
The aim of a semi-supervised neural net learning approach in this paper is to apply and improve the supervised classifiers and to develop a model to predict CPU usages under unpredictable peak load (under stress conditions) in a large ente…
View article: Correlation of Leptin and Vaspin Serum Concentration in Newly Diagnosed Type 2 Diabetes Mellitus
Correlation of Leptin and Vaspin Serum Concentration in Newly Diagnosed Type 2 Diabetes Mellitus Open
Objectives: The aim of the study was to explore the correlation of circulating leptin and vaspin levels with lipid profile, fasting blood sugar, HbA1c and anthropometric variable as inflammatory markers between diabetic patients and non-di…
View article: Using Semi-supervised Classifier to Forecast Extreme CPU Utilization
Using Semi-supervised Classifier to Forecast Extreme CPU Utilization Open
A semi-supervised classifier is used in this paper is to investigate a model for forecasting unpredictable load on the IT systems and to predict extreme CPU utilization in a complex enterprise environment with large number of applications …
View article: Distributed Information Integration in Convolutional Neural Networks
Distributed Information Integration in Convolutional Neural Networks Open
A large body of physiological findings has suggested the vision system understands a scene in terms of its local features such as lines and curves.A highly notable computer algorithm developed that models such behaviour is the Convolutiona…
View article: Impact of Users’ Socio-Cultural and Religious Orientation on Government Resource Planning (GRP) Systems Usage in Saudi Arabia
Impact of Users’ Socio-Cultural and Religious Orientation on Government Resource Planning (GRP) Systems Usage in Saudi Arabia Open
This study investigates the impact of users' socio-cultural orientation and religious values on government resource planning systems in the Kingdom of Saudi Arabia. Although many studies have been conducted on the adoption of technology in…
View article: Semi-supervised Neural Net Approach to Forecast Unpredictable CPU Load in an Enterprise Applications Environment
Semi-supervised Neural Net Approach to Forecast Unpredictable CPU Load in an Enterprise Applications Environment Open
The aim of semi-supervised learning approach in this paper is to improve the supervised classifiers to investigate a model for forecasting unpredictable load on system and to predict CPU utilization in a big enterprise applications environ…
View article: MOESM2 of The Bdnf and Npas4 genes are targets of HDAC3-mediated transcriptional repression
MOESM2 of The Bdnf and Npas4 genes are targets of HDAC3-mediated transcriptional repression Open
Additional file 2: Table S2. Unique HDAC3 Peaks in the promoter region in LK. Table shows a list of putative transcriptional targets of HDAC3 in LK. Genes were grouped based on the enrichment of HDAC3 in their promoter region. An area of a…
View article: MOESM1 of The Bdnf and Npas4 genes are targets of HDAC3-mediated transcriptional repression
MOESM1 of The Bdnf and Npas4 genes are targets of HDAC3-mediated transcriptional repression Open
Additional file 1: Table S1. Unique HDAC3 Peaks in the promoter region in HK. Table shows a list of putative transcriptional targets of HDAC3 in HK. Genes were grouped based on the enrichment of HDAC3 in their promoter region. An area of a…
View article: MOESM4 of The Bdnf and Npas4 genes are targets of HDAC3-mediated transcriptional repression
MOESM4 of The Bdnf and Npas4 genes are targets of HDAC3-mediated transcriptional repression Open
Additional file 4: Table S4. DEGs having HDAC3 peaks in promoter region. Previously published data [77] of differentially-expressed genes during neuronal death was utilized and overlapping analysis with the ChIP-Seq data was performed to g…
View article: MOESM3 of The Bdnf and Npas4 genes are targets of HDAC3-mediated transcriptional repression
MOESM3 of The Bdnf and Npas4 genes are targets of HDAC3-mediated transcriptional repression Open
Additional file 3: Table S3. Biological Process-Gene Ontology. List of putative transcriptional targets of HDAC3 in HK (A) and in LK (S3B) were subjected to DAVID and functional annotation was performed. p value and benjamini FDR were calc…
View article: Enhanced Waters 2D Muscle Model for Facial Expression Generation
Enhanced Waters 2D Muscle Model for Facial Expression Generation Open
In this paper we present an improved Waters facial model used as an avatar for work published in (Kumar and Vanualailai, 2016), which described a Facial Animation System driven by the Facial Action Coding System (FACS) in a low-bandwidth v…
View article: Intuitionistic Fuzzy Soft Set Theory and Its Application in Medical Diagnosis
Intuitionistic Fuzzy Soft Set Theory and Its Application in Medical Diagnosis Open
For finding coherent and logical solution to various real life problems containing uncertainty, impreciseness and vagueness, fuzzy soft set theory is gaining importance. Later on a theoretical study of the intuitionistic fuzzy soft set was…
View article: AN ANALYSIS OF WEAPONS USED IN HOMICIDES IN JAIPUR REGION- A THREE YEARS STUDY
AN ANALYSIS OF WEAPONS USED IN HOMICIDES IN JAIPUR REGION- A THREE YEARS STUDY Open
BACKGROUND
\nThe various patterns of homicidal deaths include assault by sharp weapon, blunt weapon, firearms, strangulation, homicidal
\nhanging, smothering, drowning, burns, poisoning etc. The role of forensic expert is to help in the ad…