Mohammad Shuaib Mir
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View article: Deep neural architectures for Kashmiri-English machine translation
Deep neural architectures for Kashmiri-English machine translation Open
This paper presents the first comprehensive deep learning-based Neural Machine Translation (NMT) framework for the Kashmiri-English language pair. We introduce a high-quality parallel corpus of 270,000 sentence pairs and evaluate three NMT…
View article: Convolutional Neural Network-based Multi-Classification of Skin Disease with Fine-Tuned ResNet50 and VGG16
Convolutional Neural Network-based Multi-Classification of Skin Disease with Fine-Tuned ResNet50 and VGG16 Open
Introduction Skin disorders present a significant global public health concern, affecting millions of individuals and contributing to high morbidity rates. The application of artificial intelligence, particularly deep learning, has emerged…
View article: A Comparative Study of Machine Learning Techniques for Cell Annotation of scRNA-Seq Data
A Comparative Study of Machine Learning Techniques for Cell Annotation of scRNA-Seq Data Open
Accurate cell type annotation is a critical step in single-cell RNA sequencing (scRNA-seq) analysis, enabling deeper insights into cellular heterogeneity and biological processes. In this study, we conducted a comprehensive comparative eva…
View article: An Integrated Approach for Groundwater Potential Prediction Using Multi-Criteria and Heuristic Methods
An Integrated Approach for Groundwater Potential Prediction Using Multi-Criteria and Heuristic Methods Open
This research focuses on groundwater mapping for the Çumra and Beyşehir Basins in Konya, a semi-arid region in Turkey that plays a crucial role in agriculture and the food industry. Geographic information systems (GIS), the analytical hier…
View article: Explainable AI for Brain Tumor Classification Using Cross-Gated Multi-Path Attention Fusion and Gate-Consistency Loss
Explainable AI for Brain Tumor Classification Using Cross-Gated Multi-Path Attention Fusion and Gate-Consistency Loss Open
Accurate and early classification of brain tumors using magnetic resonance imaging (MRI) plays a vital role in guiding timely diagnosis and therapeutic intervention. Traditional convolutional neural networks (CNNs) excel at capturing local…
View article: Who Is Buying Green Products? The Roles of Sustainability Consciousness, Environmental Attitude, and Ecotourism Experience in Green Purchasing Intention at Tourism Destinations
Who Is Buying Green Products? The Roles of Sustainability Consciousness, Environmental Attitude, and Ecotourism Experience in Green Purchasing Intention at Tourism Destinations Open
The main purpose of this study was to reveal the relationships between green purchasing intention, sustainability consciousness, environmental attitude, and ecotourism experience within the scope of the theory of planned behaviour. The res…
View article: Designing and implementing a resilient immutability mechanism for enhanced supply chain management in E-healthcare systems
Designing and implementing a resilient immutability mechanism for enhanced supply chain management in E-healthcare systems Open
Counterfeit drugs pose significant health risks due to their variable efficacy and potential harmful ingredients. To combat this issue, a reliable and secure track-and-trace system is essential for pharmaceutical supply chains. This paper …
View article: Saffron corm sorting and rot treatment strategy for productivity enhancement for precision agriculture
Saffron corm sorting and rot treatment strategy for productivity enhancement for precision agriculture Open
One of the most economical and precious spices ever known is saffron. It has innumerable pharmaceutical applications, and its cultivation is limited to certain topographic regions throughout the world. Although efforts are continuously bei…
View article: Blockchain-Enhanced Sensor-as-a-Service (SEaaS) in IoT: Leveraging Blockchain for Efficient and Secure Sensing Data Transactions
Blockchain-Enhanced Sensor-as-a-Service (SEaaS) in IoT: Leveraging Blockchain for Efficient and Secure Sensing Data Transactions Open
As the Internet of Things (IoT) continues to revolutionize value-added services, its conventional architecture exhibits persistent scalability and security vulnerabilities, jeopardizing the trustworthiness of IoT-based services. These arch…
View article: Revolutionizing mobility: a comprehensive review of electric vehicles charging stations in India
Revolutionizing mobility: a comprehensive review of electric vehicles charging stations in India Open
An Electric Vehicle (EV) charger or Electric Vehicle Supply Equipment (EVSE) is a piece of equipment that supplies electrical power for charging plug–in electric vehicles. Although batteries can only be charged with Direct Current (DC) pow…
View article: The Impact of Interplay Between Intrinsic Capabilities, Extrinsic Support, and System Quality on e-Learning Service Experiences
The Impact of Interplay Between Intrinsic Capabilities, Extrinsic Support, and System Quality on e-Learning Service Experiences Open
Despite the numerous benefits of e-learning, overall the acceptance, effectiveness, and success of e-learning projects still vary significantly. Although several studies have investigated the factors that affecting e-learning, most of the …
View article: Sustainability Consciousness Research Trends: A Bibliometric Analysis
Sustainability Consciousness Research Trends: A Bibliometric Analysis Open
Sustainability consciousness (SC) is a crucial determinant for the successful execution of sustainability initiatives. The changing of citizens’ knowledge, attitudes, and behaviors is an essential component in attaining sustainable develop…
View article: Least square-support vector machine based brain tumor classification system with multi model texture features
Least square-support vector machine based brain tumor classification system with multi model texture features Open
Radiologists confront formidable challenges when confronted with the intricate task of classifying brain tumors through the analysis of MRI images. Our forthcoming manuscript introduces an innovative and highly effective methodology that c…
View article: Deep learning models/techniques for COVID-19 detection: a survey
Deep learning models/techniques for COVID-19 detection: a survey Open
The early detection and preliminary diagnosis of COVID-19 play a crucial role in effectively managing the pandemic. Radiographic images have emerged as valuable tool in achieving this objective. Deep learning techniques, a subset of artifi…
View article: Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis
Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis Open
Recent developments in IoT, big data, fog and edge networks, and AI technologies have had a profound impact on a number of industries, including medical. The use of AI for therapeutic purposes has been hampered by its inexplicability. Expl…
View article: MRI-Based Effective Ensemble Frameworks for Predicting Human Brain Tumor
MRI-Based Effective Ensemble Frameworks for Predicting Human Brain Tumor Open
The diagnosis of brain tumors at an early stage is an exigent task for radiologists. Untreated patients rarely survive more than six months. It is a potential cause of mortality that can occur very quickly. Because of this, the early and e…
View article: Harnessing the Power of Transfer Learning in Sunflower Disease Detection: A Comparative Study
Harnessing the Power of Transfer Learning in Sunflower Disease Detection: A Comparative Study Open
Sunflower is an important crop that is susceptible to various diseases, which can significantly impact crop yield and quality. Early and accurate detection of these diseases is crucial for implementing appropriate management strategies. In…
View article: Estimation of the Extent of the Vulnerability of Agriculture to Climate Change Using Analytical and Deep-Learning Methods: A Case Study in Jammu, Kashmir, and Ladakh
Estimation of the Extent of the Vulnerability of Agriculture to Climate Change Using Analytical and Deep-Learning Methods: A Case Study in Jammu, Kashmir, and Ladakh Open
Climate stress poses a threat to the agricultural sector, which is vital for both the economy and livelihoods in general. Quantifying its risk to food security, livelihoods, and sustainability is crucial. This study proposes a framework to…
View article: Using Ensemble Learning and Advanced Data Mining Techniques to Improve the Diagnosis of Chronic Kidney Disease
Using Ensemble Learning and Advanced Data Mining Techniques to Improve the Diagnosis of Chronic Kidney Disease Open
Kidney failure is a condition with far-reaching, potentially life-threatening consequences on the human body. Leveraging the power of machine learning and data mining, this research focuses on precise disease prediction to equip decision-m…
View article: Enhanced Transfer Learning Strategies for Effective Kidney Tumor Classification with CT Imaging
Enhanced Transfer Learning Strategies for Effective Kidney Tumor Classification with CT Imaging Open
Kidney tumours (KTs) rank seventh in global tumour prevalence among both males and females, posing a significant health challenge worldwide. Early detection of KT plays a crucial role in reducing mortality rates, mitigating side effects, a…