Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
Abstract Crop Recommendation Systems are invaluable tools for farmers, assisting them in
making informed decisions about crop selection to optimize yields. These systems leverage …
making informed decisions about crop selection to optimize yields. These systems leverage …
Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models
E Hassan - Neural Computing and Applications, 2024 - Springer
Coffee bean production can encounter challenges due to fluctuations in global coffee prices,
impacting the economic stability of some countries that heavily depend on coffee production …
impacting the economic stability of some countries that heavily depend on coffee production …
Artificial intelligence in kidney disease: a comprehensive study and directions for future research
Artificial intelligence (AI) has emerged as a promising tool in the field of healthcare, with an
increasing number of research articles evaluating its applications in the domain of kidney …
increasing number of research articles evaluating its applications in the domain of kidney …
Deepfake detection using convolutional vision transformers and convolutional neural networks
AH Soudy, O Sayed, H Tag-Elser, R Ragab… - Neural Computing and …, 2024 - Springer
Deepfake technology has rapidly advanced in recent years, creating highly realistic fake
videos that can be difficult to distinguish from real ones. The rise of social media platforms …
videos that can be difficult to distinguish from real ones. The rise of social media platforms …
Lightweight Privacy-Preserving Remote User Authentication and Key Agreement Protocol for Next-Generation IoT-Based Smart Healthcare
The advancement and innovations in wireless communication technologies including the
Internet of Things have massively changed the paradigms of health-based services. In …
Internet of Things have massively changed the paradigms of health-based services. In …
ANN-based deep collocation method for natural convection in porous media
A deep collocation method (DCM) is proposed for studying the natural convection
phenomenon in the porous media (NCPM). The buoyancy-driven convection analysis inside …
phenomenon in the porous media (NCPM). The buoyancy-driven convection analysis inside …
[HTML][HTML] ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application
Chronic kidney diseases (CKDs) are a significant public health issue with potential for
severe complications such as hypertension, anemia, and renal failure. Timely diagnosis is …
severe complications such as hypertension, anemia, and renal failure. Timely diagnosis is …
Deep transfer learning for kidney cancer diagnosis
Y Habchi, H Kheddar, Y Himeur, A Boukabou… - arXiv preprint arXiv …, 2024 - arxiv.org
Many incurable diseases prevalent across global societies stem from various influences,
including lifestyle choices, economic conditions, social factors, and genetics. Research …
including lifestyle choices, economic conditions, social factors, and genetics. Research …
A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques
This paper addresses the global surge in heart disease prevalence and its impact on public
health, stressing the need for accurate predictive models. The timely identification of …
health, stressing the need for accurate predictive models. The timely identification of …
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
RA Zitar, E Alhadhrami, L Abualigah… - Neural Computing and …, 2024 - Springer
This paper presents a novel hybrid optimization method to solve the resource allocation
problem for multi-target multi-sensor tracking of drones. This hybrid approach, the Improved …
problem for multi-target multi-sensor tracking of drones. This hybrid approach, the Improved …