Papers I to III of this series built the buffer group ΠB = Ta/Tx for the edge between two infrastructure nodes, tested it plant by plant on the February 2021 Texas chain, and priced its hours with a cost group ΠC = ca/(vCd), all on one event. This paper reads a second. Winter Storm Elliott, 22 to 26 December 2022, ran...
Brian Guarino· Zenodo (CERN European Organi...· 0 citations
Therapod development of information technology has transformed the way organizations, businesses, educational institutions, and individuals store, process, and utilize information. Two major technologies driving this transformation are Artificial Intelligence (AI) and Cloud Computing. The combination of AI and cloud co...
M.Jeswanth, K.Sai Santhiya, K.Mariammal et al.· International Journal of Sci...· 0 citations
Remote patient monitoring (RPM) systems face two critical unsolved challenges: (1) Bluetooth Low Energy (BLE) data continuity failure when progressive web applications (PWAs) enter background execution, causing silent, irrecoverable loss of patient biometric data; and (2) large language model (LLM) hallucination during...
Jublee Raju Chagantipati· Zenodo (CERN European Organi...· 0 citations
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The study proposes a smart food supply chain monitoring system using Internet of Things (IoT) to detect food adulteration in real time, predict the freshness of food and ensure the food safety in a distributed food supply chain. The framework relies on the multimodal IoT sensing, edge computing, hybrid CNN–LSTM deep le...
Vandana Ahuja, P. Nagarathna, Ansuman Samal et al.· Advances in computational in...· 0 citations
The automotive electrical/electronic (E/E) architectureis undergoing a fundamental transformation from looselycoupled, function-specific electronic control units (ECUs)toward domain-centralized, zonal, and fully centralizedcomputing architectures, forming the foundation of emerg-ing software-defined vehicles (SDVs). In...
Shirshendu Roy· Zenodo (CERN European Organi...· 0 citations
Intelligent Internet of Things (IoT) and assistive technologies are revolutionizing neurocognitive healthcare, with the ability to continuously monitor, use early diagnostics, assess disease progression and deliver personalized interventions. In this chapter, a conceptual framework concerning the integration of wearabl...
Berlin Magthalin R., Mizpah Queeny R.· Advances in computational in...· 0 citations
The integration of computer vision and machine learning in livestock farming has revolutionized precision agriculture, enabling real-time monitoring, health assessment, and behavioral analysis of animals. Among the most promising tools, image-based systems, powered by deep learning architectures such as YOLO, have demo...
José Paulo Lousado, Ivan Pires· Precision Livestock Farming· 0 citations
Precision dairy farming (PDF) is an innovative approach that utilizes advanced technologies and methods to individually monitor and manage dairy animals and their environment with the aim of improving milk production and quality. This real-time monitoring ensures traceability and sustainability throughout the productio...
Sonic biometrics and pattern recognition represent a cutting-edge frontier in eco-acoustic intelligence, leveraging signal processing and machine learning methodologies to identify, classify, and authenticate biological and environmental sound patterns. This chapter delves into the technical architecture and interdisci...
Roopesh Ramesh, S. Priyanka, N. Kalyan· Eco‐Acoustic Intelligence· 0 citations
INTRODUCTION: Under Industry 5.0, discrete manufacturing faces a fundamental dilemma: it must balance human-centric flexibility with sustainable and resilient operations. Resolving this dilemma requires the Industrial Internet of Things (IIoT) to coordinate and integrate the three types of heterogeneous resources—sensi...
Feng Wang, Ning Wu· ICST Transactions on Scalabl...· 0 citations
Abstract— Berberine, a quaternary protoberberine alkaloid of Berberis and Coptis species, showsreproducible anti-proliferative activity in breast cancer models, but the experimental literature isfragmented across unrelated pathways and no prioritised target map exists. This study converts thatscattered evidence into a...
Dr. R. SUNDARARAJAN, S.G. RAMAN, P. RAJAKUMAR, A. RAJKUMAR, RASHID.R, J. SATHISH KUMAR, M.YOKESHWARAN· Zenodo (CERN European Organi...· 0 citations
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
