S Muthuperumal’s scientific contributions

... Changala et al., 2024). Additionally, interactive augmented soundscapes are discussed as technological innovations that replicate the restorative benefits of nature within built environments(Joshi et al., 2020), broadening the application of Attention Restoration Theory (ART) in design practice. ...

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Urban Landscape Design for Promoting Healthy and Sustainable Behaviors: A Nature-Based and Environmental Psychology Approach

... AI is a new approach to education that reshaped traditional education and can provide solution to many related problems . With diverse classrooms where students possess diversified skills, interests, and speed, AI presents teaching tools that meet the needs of each learner better to promote inclusiveness (Fazal et al., 2024;Sarwar, Bhasin, et al., 2024). Using data-driven approaches, AI enhances the possibilities of the educators to move away from the restrictive 'every student same' model to allow the innovation in the choice of teaching-learning techniques (Bhutto, Sunkari, et al., 2023;Bhutto, Tian, Du, Sun, Yu, & Soomro, 2022). ...

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Enhancing Education With AI Tools for Effective Teaching and Better Student Outcomes

... It will follow the pre-planned path, passing through nodes en route to reach the requested square. This algorithm is an improvement of a previous study [15]. In this research, we try to find the shortest path for the sink to follow to collect the critical data when present. ...

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Adaptive Path Selection for Efficient Data Collection in Wireless Sensor Networks

... In cybersecurity, generative AI enhances anomaly detection, intrusion prevention, and threat intelligence. Adversarial AI models simulate sophisticated cyberattacks, enabling proactive defence strategy development [126], [127], [128]. ...

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The Evolution of Generative AI: Trends and Applications

... Subsequently, they undergo SCSOpping into 256 X 256 pixel regions. The 2100 images that have been carefully SCSOsen and reliably labeled into 21 classes include agricultural, airplane, baseball diamond, beach, constructions, chaparral [19], dense homes forest, freeway, the golf course, harbor, intersection, medium density dwellings [20], mobile home park, overpass, parking area, river, runway, sparse homes storage tanks, and tennis courts [21]. The classification of aerial images is one of the most popular uses for this collection [22]. ...

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Random Coupled Neural Network with Sand Cat Swarm Optimization for Automatic Object Detection in Aerial Images

... This variation is influenced by factors like the energy mix used to manufacture wind turbine components and the local emissions from the grid. For example, if a region relies heavily on fossil fuels for electricity during manufacturing, it can raise the overall emissions associated with wind energy systems [30][31][32][33][34][35]. ...

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Environmental, Financial and Energy Implications of Renewable Energy Systems

... Building on existing AI-powered applications, tools like Speakly and Pronunciation Power personalize exercises based on learners' error patterns and proficiency levels (Vančová, 2023). Furthermore, voice comparison features allow students to analyze their pronunciation against native speakers, enabling self-correction and refinement (Lara et al., 2024). Despite these technological improvements, challenges remain. ...

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Use of Mobile Assisted Language Learning on Students' Pronunciation

... Such systems would notice transactions that reach set amounts or ones that come from, for example, high-risk countries. Still, because rule-based systems could be interpreted and set up with ease, their inability to adapt to shifting forms of fraud made them useless [1]. Because they couldn't change their rules and recognize unknown patterns of fraud, they often flagged more honest customers and delayed taking action. ...

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Enhancing Real Time-Fraud Detection in Banking Transactions using Recurrent Neural Networks (RNNs)