Jagendra Singh
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View article: A Novel Model Utilizing Deep Neural Networks for Opinion Mining
A Novel Model Utilizing Deep Neural Networks for Opinion Mining Open
The paper proposes an aspect extraction model based on deep learning for opinion mining, an important task for sentiment analysis. Aspect extraction is concerned with determining specific product or service features that are praised or cri…
View article: Distinctness, Uniformity and Stability Characterization of Soybean Glycine max [L.] Merrill Genotypes
Distinctness, Uniformity and Stability Characterization of Soybean Glycine max [L.] Merrill Genotypes Open
Soybean is a significantly important leguminous crop known for its high protein (~40%) and oil (~20%) content, making it essential in human nutrition and animal feed. The current research was conducted during the Kharif, 2024 at the Zonal …
View article: Genetic Analysis for Yield Improvement in Brassica Species: Insights from Variability and Trait Relationships
Genetic Analysis for Yield Improvement in Brassica Species: Insights from Variability and Trait Relationships Open
Brassica spp. is a major oilseed group in India, valued for its adaptability to semi-arid environments and high economic returns. The present investigation was conducted during the Rabi, 2024-25 at ZARS, Morena, RVSKVV, Gwalior to assess t…
View article: AI-Driven Innovations in Tunnel Construction and Transport: Enhancing Efficiency with Advanced Machine Learning and Robotics
AI-Driven Innovations in Tunnel Construction and Transport: Enhancing Efficiency with Advanced Machine Learning and Robotics Open
Introduction Tunnel construction is a high-risk, complex task requiring precision, safety, and efficiency. With growing infrastructure demands, this study proposes a hybrid framework integrating Building Information Modeling (BIM), machine…
View article: Assessment of Genetic Divergence in Soybean (Glycine max [L.] Merrill) Using Mahalanobis D² Statistics and Principal Component Analysis
Assessment of Genetic Divergence in Soybean (Glycine max [L.] Merrill) Using Mahalanobis D² Statistics and Principal Component Analysis Open
Soybean (Glycine max [L.] Merrill) is a globally significant leguminous crop, valued for its high protein and oil content, symbiotic nitrogen fixation ability, and adaptability to diverse agro-climatic conditions. Despite increased cultiva…
View article: Assessment of Genetic Variability and Heritability in Indian Mustard (Brassica juncea L.) Genotypes
Assessment of Genetic Variability and Heritability in Indian Mustard (Brassica juncea L.) Genotypes Open
The present study was undertaken to assess genetic variability and divergence among 42 genotypes sourced from AICRP on Rapeseed and Mustard, ZARS, Morena of Indian mustard (Brassica juncea L.) under field conditions at the Zonal Agricultur…
View article: Screening of Soybean Genotypes Against Yellow Mosaic Virus Disease Under Field Conditions
Screening of Soybean Genotypes Against Yellow Mosaic Virus Disease Under Field Conditions Open
Glycine max [L.] Merrill is a nutritionally enrich leguminous crop, playing a pivotal part in food, feed and industrial sectors. In India, its status has escalated owing to high adaptability, nitrogen-fixing capability and economic returns…
View article: Genetic Evaluation and Trait Association Analysis for Yield Enhancement in Soybean (Glycine max L. Merrill)
Genetic Evaluation and Trait Association Analysis for Yield Enhancement in Soybean (Glycine max L. Merrill) Open
Glycine max [L.] Merrill is an internationally significant leguminous crop, appreciated for its high protein (~40%) and oil (~20%) content. Enhancing seed yield, a polygenic trait influenced by multiple agronomic characters, remains a majo…
View article: Genetic Diversity Assessment of Soybean Genotypes Using D² and Principal Component Analysis for Breeding Advancements
Genetic Diversity Assessment of Soybean Genotypes Using D² and Principal Component Analysis for Breeding Advancements Open
Soybean (Glycine max L. Merrill), major leguminous crop rich in protein and oil, plays a critical role in human nutrition and sustainable agriculture. Genetic diversity analysis is vibrant to identify better parents for developing high-yie…
View article: Predictive modeling of mechanical behavior in waste ceramic concrete using machine learning techniques
Predictive modeling of mechanical behavior in waste ceramic concrete using machine learning techniques Open
This study identifies the critical demand for a certain approach that aims to predict and ascertain the mechanical behavior of con-crete admixed with waste ceramic, a method to overcome and mitigate the related environmental challenges a…
View article: Deep Learning-based Staging of Throat Cancer for Enhancing Diagnostic Accuracy Through Multimodal Data Integration
Deep Learning-based Staging of Throat Cancer for Enhancing Diagnostic Accuracy Through Multimodal Data Integration Open
Aim This study strives to develop deep learning models with respect to the staging of throat cancer through CT image analysis linked with medical records. Using 650 CT scans, the current research combines the convolutional neural networks …
View article: An Advanced Cognitive Strategy for Drug Formulation Utilizing Deep Neural Networks and Feature-based Fusion
An Advanced Cognitive Strategy for Drug Formulation Utilizing Deep Neural Networks and Feature-based Fusion Open
This research introduces an innovative approach to drug formulation optimization by integrating a deep neural network (DNN) model with feature-based fusion. The study leverages diverse datasets, including molecular databases, biological re…
View article: Spatial Random Effect Modelling of Caesarean Section Delivery Across Six Zones of India
Spatial Random Effect Modelling of Caesarean Section Delivery Across Six Zones of India Open
View article: Histopathologic Cancer Detection: A Comparative Analysis of Deep Learning Models
Histopathologic Cancer Detection: A Comparative Analysis of Deep Learning Models Open
Histopathologic cancer detection is a critical task in modern mediciine, with deep learning emerging as a promising tool for automating diagnosis. This study presents a compre- hensive comparative analysis of seven deep learning models for…
View article: Integrating Radial Basis Networks and Deep Learning for Transportation
Integrating Radial Basis Networks and Deep Learning for Transportation Open
Introduction This research focuses on the concept of integrating Radial Basis Function Networks with deep learning models to solve robust regression tasks in both transportation and logistics. Methods It examines such combined models as RN…
View article: Utilizing Multi-layer Perceptron for Esophageal Cancer Classification Through Machine Learning Methods
Utilizing Multi-layer Perceptron for Esophageal Cancer Classification Through Machine Learning Methods Open
Aims This research paper aims to check the effectiveness of a variety of machine learning models in classifying esophageal cancer through MRI scans. The current study encompasses Convolutional Neural Network (CNN), K-Nearest Neighbor (KNN)…
View article: Enhancing Large-Diameter Tunnel Construction Safety with Robust Optimization and Machine Learning Integrated into BIM
Enhancing Large-Diameter Tunnel Construction Safety with Robust Optimization and Machine Learning Integrated into BIM Open
Aim This study aims to enhance safety in large diameter tunnel construction by integrating robust optimization and machine learning (ML) techniques with Building Information Modeling (BIM). By acquiring and preprocessing various datasets, …
View article: Advancing Tunnel Construction Reliability with Automated Artificial Intelligence under Geotechnical and Aleatoric Uncertainties
Advancing Tunnel Construction Reliability with Automated Artificial Intelligence under Geotechnical and Aleatoric Uncertainties Open
Aims This research seeks to improve the reliability and sustainability of tunnel construction by employing automated AI techniques to manage geotechnical and aleatoric uncertainties. It utilizes machine learning models, including Gradient …
View article: Deep Learning and MRI Biomarkers for Precise Lung Cancer Cell Detection and Diagnosis
Deep Learning and MRI Biomarkers for Precise Lung Cancer Cell Detection and Diagnosis Open
Aim This research work aimed to combine different AI methods to create a modular diagnosis system for lung cancer, including Convolutional Neural Network (CNN), K-Nearest Neighbors (KNN), VGG16, and Recurrent Neural Network (RNN) on MRI bi…
View article: Impact and Implications of Quantum Computing on Blockchain-based Electronic Health Record Systems
Impact and Implications of Quantum Computing on Blockchain-based Electronic Health Record Systems Open
Aims This study will investigate the integration of quantum computing and blockchain technology of EHR systems, evaluating the potential and major vulnerabilities of the developed blockchain platforms. In addition, through this evaluation,…
View article: Incidence of Major Insect Pest of Cluster Bean against Different Dates of Sowing
Incidence of Major Insect Pest of Cluster Bean against Different Dates of Sowing Open
Aims: The present study was undertaken to determine the major sucking pests viz., jassid, Empoasca kerri, whitefly, Bemisia tabaci and aphid, Aphis craccivora and Thrips, Megalurothrips distalis attacking cluster bean crop sown at differen…
View article: A Healthcare System Employing Lightweight CNN for Disease Prediction with Artificial Intelligence
A Healthcare System Employing Lightweight CNN for Disease Prediction with Artificial Intelligence Open
Introduction/Background This research introduces the EO-optimized Lightweight Automatic Modulation Classification Network (EO-LWAMCNet) model, employing AI and sensor data for forecasting chronic illnesses within the Internet of Things fra…
View article: Reviewing the Impact of Machine Learning on Disease Diagnosis and Prognosis: A Comprehensive Analysis
Reviewing the Impact of Machine Learning on Disease Diagnosis and Prognosis: A Comprehensive Analysis Open
Aim This study aimed to explore how machine learning algorithms can enhance medical diagnostics through the analysis of illness imagery and patient data, assessing their effectiveness and potential to improve diagnostic accuracy and early …
View article: Delving into Machine Learning's Influence on Disease Diagnosis and Prediction
Delving into Machine Learning's Influence on Disease Diagnosis and Prediction Open
Introduction/ Background Medical diagnoses have increasingly depended on digitized images obtained through cutting-edge technology. These algorithms offer a promising avenue to transform diagnostic processes in healthcare, with their appli…
View article: Navigating the Future of Secure and Efficient Intelligent Transportation Systems using AI and Blockchain
Navigating the Future of Secure and Efficient Intelligent Transportation Systems using AI and Blockchain Open
Introduction/Background This study explores the limitations of conventional encryption in real-world communications due to resource constraints. Additionally, it delves into the integration of Deep Reinforcement Learning (DRL) in autonomou…
View article: Real-Time Convolutional Neural Networks for Emotion and Gender Classification
Real-Time Convolutional Neural Networks for Emotion and Gender Classification Open
Emotion and gender recognition are important areas of research in the field of computer vision and human-computer interaction. The proposed CNN architecture is designed to extract features from facial images and classify them into six basi…
View article: Identification of Brain Diseases using Image Classification: A Deep Learning Approach
Identification of Brain Diseases using Image Classification: A Deep Learning Approach Open
Brain diseases are a growing concern in healthcare, with an estimated 50 million people worldwide living with dementia and 15 million new cases each year. This research paper explores the significance of early identification and diagnosis …
View article: Multi-trait selection for mean performance and stability among soybean genotypes evaluated under rainfed conditions across diverse environments in India
Multi-trait selection for mean performance and stability among soybean genotypes evaluated under rainfed conditions across diverse environments in India Open
Soybean [Glycine max (L.) Merr.] is the predominant rainfed Indian oilseed crop cultivated across diverse agro-climatic zones. Understanding the genotype ? environment interaction (GEI) is crucial for development of stable and wider adapta…
View article: Multi-Class Pixel Certainty Active Learning Model for Classification of Land Cover Classes Using Hyperspectral Imagery
Multi-Class Pixel Certainty Active Learning Model for Classification of Land Cover Classes Using Hyperspectral Imagery Open
An accurate identification of objects from the acquisition system depends on the clear segmentation and classification of remote sensing images. With the limited financial resources and the high intra-class variations, the earlier proposed…
View article: Malware Analysis in IoT & Android Systems with Defensive Mechanism
Malware Analysis in IoT & Android Systems with Defensive Mechanism Open
The Internet of Things (IoT) and the Android operating system have made cutting-edge technology accessible to the general public. These are affordable, easy-to-use, and open-source technology. Android devices connect to different IoT devic…