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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Prof. S. K. Said

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7 papers indexed here

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#edge computing Open access Nov 2026

EDGE AI: Intelligent Computing At The Edge for Real-Time Applications — A Review of Architectures, Model Optimization and Deployment

Edge Artificial Intelligence (Edge AI) combines machine learning with edge computing so that data are processed on or near the devices that produce them, such as sensors, cameras, smartphones, IoT nodes and embedded systems, rather than entirely in remote cloud servers. This brings decisions closer to the data source,...

Bhor Darshan Vasant, Prof. M. A. Auti, Prof. M. C. Kolse et al. · 0 citations
#edge computing Open access Nov 2026

AI-Powered Drones for Disaster Search and Rescue: A Review of Human Detection, Autonomous Navigation and Emergency Communication

Earthquakes, floods, landslides and building collapses cause serious damage and loss of life, and locating trapped or stranded people quickly is one of the most critical tasks for rescue teams. Ground searches are slow and often dangerous in unstable or inaccessible areas. AI-powered drones offer a faster and safer alt...

Pabale Sakshi Fakir, Prof. J. M. Patade, Prof. M. C. Kolse et al. · 0 citations
#explainable ai Open access Nov 2026

AI Guardian for Aircraft Safety and Rescue: A Review of Predictive Health Monitoring, Collision Avoidance and Autonomous Emergency Response

Severe weather, mid-flight system failures and hazardous terrain continue to challenge aviation safety, and traditional safeguards depend heavily on pilot intervention and ground communication that may be limited during sudden emergencies. This paper reviews the concept of an AI Guardian, an intelligent framework that...

Aher Siddhi Prabhakar, Prof. S. K. Said, Prof. M. C. Kolse · 0 citations
#federated learning Open access Nov 2026

Privacy-Preserving Technologies for Secure Data Management in Digital Systems: A Review of Encryption, Anonymization, Differential Privacy, Federated Learning and Secure Computation

Digital platforms, cloud services, online transactions and data-driven applications collect and process large volumes of personal and confidential information every day, increasing the risk of data breaches, unauthorized access, identity theft and misuse. Protecting privacy while still allowing data to be used for legi...

Gawade Aditi Dattatray, Prof. C. A. Kolse, Prof. M. C. Kolse et al. · 0 citations
#diffusion models Open access Nov 2026

Ai-Based Deepfake Detection: A Review Of Spatial Artifact, Temporal Consistency And Biological Signal Approaches For Real-Time Media Verification

Deepfakes, realistic manipulations of faces, voices and videos produced with generative adversarial networks and diffusion models, threaten digital media integrity, personal privacy and public security. Traditional verification by visual inspection or simple forensic tools struggles against these sophisticated alterati...

Gadge Anuja Harishchandra, Prof. N. G. Rokade, Prof. M. C. Kolse et al. · 0 citations
#graph neural networks Open access Nov 2026

Generative and Deep Learning In Bioinformatics: A Review of Protein Structure Prediction, Sequence Representation Learning and AI-Assisted Drug Discovery

Artificial intelligence, and generative modelling in particular, is creating new opportunities in bioinformatics. Conventional computational biology relied on physics-based simulation, sequence alignment and manual feature engineering, each limited by computational cost and the need for expert interpretation. This pape...

Tirandaj Fatima Khalid, Prof. S. S. Bhor, Prof. M. C. Kolse et al. · 0 citations
#reinforcement learning Open access Nov 2026

How Recommendation Systems Work At Netflix and Youtube: A Review of Candidate Generation, Ranking, Multitask Objectives and Responsible Personalization

Streaming platforms such as Netflix and YouTube offer catalogues far larger than any user can browse, and most of what people watch is chosen from personalized recommendations. This paper explains how these industrial recommendation systems work, based on published research from the platforms and the wider community. I...

Tambe Siddhi Mahesh, Prof. S. S. Bhor, Prof. M. C. Kolse et al. · 0 citations

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