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Real-time aerial fire detection on resource-constrained devices using knowledge distillation

International Journal of Applied Earth Observations and Geoinformation
Wildfire catastrophes cause significant environmental degradation, human losses, and financial damage. To mitigate these severe impacts, early fire detection and warning systems are crucial.
Sabina Jangirova, Branislava Jankovic, Waseem Ullah, Latif U. Khan, Mohsen Guizani   +4 more
doaj   +1 more source

Enhancing fraud detection in banking by integration of graph databases with machine learning

MethodsX
The banking sector's shift from traditional physical locations to digital channels has offered customers unprecedented convenience and increased the risk of fraud for customers and institutions alike.
Ayushi Patil, Shreya Mahajan, Jinal Menpara, Shivali Wagle, Preksha Pareek, Ketan Kotecha   +5 more
doaj   +1 more source

Comparative evaluation of generative audio models for precise disease classification via sound-based datasets

Journal of Big Data
Generative models play a pivotal role in speech and audio generation, and recent advancements have expanded their applications in medical diagnosis. This study provides a comprehensive comparative analysis of various generative models, focusing on their ...
Esraa Hassan, Nora El-Rashidy
doaj   +1 more source

A Multimodal AI-Driven Framework for Adaptive Learning of Differently-Abled Learners Using Deep Learning and Real-Time Gesture Recognition

IEEE Access
There are about 1.3 billion people with disabilities in the world, including those who are blind and deaf, yet they still face many obstacles when it comes to participating in educational opportunities.
Alroy Deon Saldanha, R. T. Aniket, A. Ahibhruth, Ian Jem, B. Sathish Babu, Mohana, Aaditey Chalva   +6 more
doaj   +1 more source

Modeling and Optimal Control of Liquidity Risk Contagion in the Banking System with Delayed Status and Control Variables

AppliedMath
The application of contagion risk spread modeling within the banking sector is a relatively recent development, emerging as a response to the persistent threat of liquidity risk that has affected financial institutions globally.
Hamza Mourad, Said Fahim, Mohamed Lahby
doaj   +1 more source

U-Sketch: Bridging the Gap for Efficient and Realistic Sketch-to-Image Synthesis

IEEE Access
Diffusion models have demonstrated remarkable performance in text-to-image synthesis, producing realistic, high-resolution images that faithfully adhere to the corresponding text-prompts. However, they still fall behind in sketch-to-image synthesis tasks,
Ilias Mitsouras, Eleftherios Tsonis, Paraskevi Tzouveli, Athanasios Voulodimos   +3 more
doaj   +1 more source

Crop recommendation and forecasting system for Maharashtra using machine learning with LSTM: a novel expectation-maximization technique

Discover Sustainability
Agriculture in Maharashtra has immense importance in India, acting as the back-bone of the economy and a primary livelihood source for a significant population.
Yashashree Mahale, Nida Khan, Kunal Kulkarni, Shivali Amit Wagle, Preksha Pareek, Ketan Kotecha, Tanupriya Choudhury, Ashutosh Sharma   +7 more
doaj   +1 more source

An AI-driven smart grievance analysis and escalation system for educational institutions [PDF]

EPJ Web of Conferences
Resolving complaints in educational institutions is most of the time a slow, cumbersome operation and hence, the students are disappointed many times. Old, style methods rely on pre, determined formats and manual routing which further extend the time for
K Kiruthiga, R Gobika, V Kavyashree
doaj   +1 more source

The Influence of Computerized Dynamic Assessment on the Learning Potential of Graphical Analogical Reasoning in Children with Autism: Evidence from Eye-Movement Synchronization

Behavioral Sciences
Graphical analogical reasoning ability is crucial for the cognitive development of children with autism spectrum disorder (ASD). However, there are currently no methods available to enhance its analogical reasoning potential.
Kun Zhang, Ying Zhang, Jingying Chen, Yating Dai, Yuanxu Jin   +4 more
doaj   +1 more source

Artificial intelligence-based fault classification on photovoltaic plants using a low-cost open-source IoT system

Scientific Reports
Central inverters are widely used in large photovoltaic systems, but struggle with inefficiency and large energy losses with direct current (DC). To solve these problems, Artificial Intelligence (AI) and the Internet of Things (IoT) offer alternative ...
Wattanasak Srisiri, Ngoc Thien Le, Muhammad Asim Saleem, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul   +5 more
doaj   +1 more source