Results 21 to 30 of about 57,627 (118)

Multimodal AI for plant stress classification across multiple plant species

Discover Artificial Intelligence
Plant stress monitoring is invaluable in realizing sustainable agriculture because it enables the people practicing it to take early measures to counteract losses in yield caused by environmental stressors like drought and nutrient deficiencies, as well ...
Sanjyot Patil, Shrikrishna Kolhar, Shivali Wagle, Shruti Patil   +3 more
doaj   +1 more source

Optimizing micro cold storage for detecting stale food and fruits

Science and Technology for Energy Transition
Cold storage are a critical element of the food supply and sustainability supply chain for preservation and maintaining the quality as well as the nutritional value of stored items. This work investigates into the adoption of Artificial Intelligence (AI)
Arun Sreelekha, Amit Wagle Shivali, Nambiar Prahas, Panalkar Pratham, Ekka Prince, Kumar Vaibhav, Dhiman Harsh, Roy Anindita   +7 more
doaj   +1 more source

Approaches to health promotion in higher education: A scoping review (2014–2024) [PDF]

Health Promotion Perspectives
Background: Health promotion within higher education institutions is gaining increasing global attention, particularly in response to the growing health challenges faced by adolescents and young adults. This demographic often experiences a convergence of
Manesh Muraleedharan, Dwight Figueiredo, Rechel Shrisunder, Sammita Jadhav   +3 more
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Hierarchical cross-modal attention and dual audio pathways for enhanced multimodal sentiment analysis

Scientific Reports
This paper presents a new architecture for multimodal sentiment analysis exploiting hierarchical cross-modal attention mechanisms, as well as two parallel lanes for audio analysis.
D. Vamsidhar, Parth Desai, Aniket K. Shahade, Shruti Patil, Priyanka V. Deshmukh   +4 more
doaj   +1 more source

Enhancing movie script creation through retrieval-augmented LLMs and stable diffusion scene modeling

Scientific Reports
Script writing has become a labor-intensive process, especially when tailored to specific scene setting, culture or character. Recent advancements in the field of Natural Language Processing and Deep Learning algorithms have made it possible to automate ...
Ansh Lulla, Aayush Koul, Rampalli Agni Mithra, Aniket K. Shahade, Mayur Gaikwad   +4 more
doaj   +1 more source

Analyzing and predicting PM₁₀ using remote sensing and machine learning: A case study of Delhi, India

Discover Applied Sciences
Airborne particulate matter (PM10) has emerged as a critical indicator of deteriorating air quality, with significant implications for human health, urban sustainability, and climate across the globe.
Masud Karim, Saakshi Tomar, Sahil K. Shah, T. P. Singh   +3 more
doaj   +1 more source

Advancements in ophthalmology healthcare using multimodal AI: a systematic review of methods, applications, and future directions

Discover Artificial Intelligence
Recent advancements in artificial intelligence are revolutionizing ophthalmology. Specifically, the integration of structural, functional, and clinical datasets is achieving new heights in diagnostic accuracy and decision-making support.
D. Vamsidhar, Shrikrishna Kolhar, Shruti Patil, Sumit Kumar   +3 more
doaj   +1 more source

Deep learning with ensemble approach for early pile fire detection using aerial images

Frontiers in Environmental Science
Wildfires rank among the world’s most devastating and expensive natural disasters, destroying vast forest resources and endangering lives. Traditional firefighting methods, reliant on ground crew inspections, have notable limitations and pose significant
Dhyey Divyeshkumar Joshi, Dhyey Divyeshkumar Joshi, Satish Kumar, Satish Kumar, Shruti Patil, Shruti Patil, Pooja Kamat, Shrikrishna Kolhar, Ketan Kotecha, Ketan Kotecha   +9 more
doaj   +1 more source

Multi-Variate Analysis of Shell & Tube Heat Exchanger using Principal Component Analysis [PDF]

E3S Web of Conferences
Shell & Tube Heat Exchangers (STHEs) are a critical component for various industrial applications such as chemical, oil & gas, power, etc. Due to their complex design and high manufacturing cost, the efficient operation and optimum design are quite ...
Nargundkar Aniket, Gulia Vikas, Sur Anirban   +2 more
doaj   +1 more source

A comprehensive review on artificial intelligence driven predictive maintenance in vehicles: technologies, challenges and future research directions

Discover Applied Sciences
Predictive maintenance has rapidly grown in automotive industries with the advancements in artificial intelligence (AI) technologies like machine learning, deep learning, and now generative AI.
Yashashree Mahale, Shrikrishna Kolhar, Anjali S. More   +2 more
doaj   +1 more source