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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

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S. B. Bhosale

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#edge computing Open access Oct 2026

AI-Based Smart Weapon Detection and Threat Assessment in CCTV Surveillance: A Review

Closed-circuit television (CCTV) networks now produce far more footage than human operators can watch, and delayed recognition of an armed person can cost lives. This paper reviews AI-based approaches to weapon detection and threat assessment in CCTV surveillance. Four recent studies are examined in detail: an edge-dep...

Disha Narayan Kale, Bangar A. P, S. B. Bhosale et al. · 0 citations
#reinforcement learning Open access Oct 2026

Emergency Route Optimization During Disasters Using AI And Iot: A Comprehensive Review of Sensing Approaches, Routing Algorithms, Report-ed Evidence, and Deployment Challenges

Disasters such as floods, earthquakes and cyclones damage roads and delay ambulances, fire brigades and rescue teams, while conventional navigation relies on static maps that ignore flooding, blockages and congestion. This paper presents a focused narrative review that synthesises five studies on AI-based emergency and...

Arshad Salim Shaikh, A. P. Banger, S. B. Bhosale et al. · 0 citations
#edge computing Open access Oct 2026

AI PCs and On-Device Artificial Intelligence: The Future of Intelligent Computing

AI PCs and on-device artificial intelligence are changing how everyday computers use AI. Instead of sending every request to a remote cloud server, a device can process suitable tasks locally using its CPU, GPU, and specialised neural processing unit (NPU). This can reduce response time, limit data transfer, support so...

Sasane Sakshi Shirish, S. B. Bhosale, A. P. Bangar et al. · 0 citations
#federated learning Open access Oct 2026

Federated Learning For Fraud Detection: A Review

Fraud detection in banking and payments depends on learning from transaction data that institutions are often unable or unwilling to pool, because of privacy, regulatory, competitive, and security constraints. Federated learning (FL) offers an alternative in which institutions train a shared model by exchanging model u...

Shivam Babasaheb Rakh, A. P. Banger, S. B. Bhosale et al. · 0 citations
#reinforcement learning Open access Oct 2026

AI Powered Predictive Self-Healing Software Systems: A Review

Modern software, networks, operating systems and factories have grown too complex to be repaired by hand. Self-healing systems try to notice a problem, find its cause and fix it without waiting for a person. This paper reviews four recent studies that attack this goal at four different levels: finding faulty lines of c...

Mansi Suryakant Kyatankeri, Abhishek Popat Bangar, S. B. Bhosale et al. · 0 citations
#reinforcement learning Open access Oct 2026

Green Computing: AI for Energy-Efficient Data Centers

Modern hyperscale data centers represent the backbone of global digital infrastructure, supporting intensive workloads spanning cloud services, deep learning model training, and real-time big data analytics. However, their exponential proliferation has driven electricity consumption to unprecedented levels, accounting...

Golhar Ayush Rangnath, Abhishek Popat Bangar, S. B. Bhosale et al. · 0 citations

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