Human Activity Recognition (HAR) is a key AI field that uses sensor, video, wearable, and environmental data to identify and predict human activities. Advances in deep learning, including CNNs, RNNs, LSTMs, Transformers, and hybrid models, have improved recognition accuracy through automatic feature extraction. The gro...
Nisha Vasudeva, Antim Panghal, Prabu Kaliyaperumal et al.· Advances in computational in...· 0 citations
Phishing links imitate trusted brands and push users to hand over passwords, card numbers, or other private data. This paper proposes a lightweight, explainable pipeline that decides whether a URL is phishing or legitimate by reading only the address text, with no visit to the destination page. Measurable properties of...
Neha Sureshrao Choudhari Dr. Shilpa B. Sarvaiya· International Journal of Adv...· 0 citations
Historically, convolutional methods such as YOLO, SSD, and R-CNN were the driving force behind object detection and localization research. In recent years, however, transformer-based approaches like DETR have fundamentally shifted the paradigm for model development. Understanding how objectness is learned can inform ho...
Jackson S. Zaunegger, B. Scarino, F. Male et al.· Applications of Machine Lear...· 0 citations
Generative AI Prompts for Scientific Research: How to Use Generative AI in Theses, Dissertations, and Articles is a practical, introductory guide designed to support researchers, graduate students, supervisors, and health professionals in the structured, critical, and responsible use of generative artificial intelligen...
Eliza Ramos, Lúcia Yasuko Izumi Nichiata· Mendeley Data· 0 citations
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Enterprises increasingly rely on complex, cross-functional business processes spanning ERP, CRM, ticketing, and legacy systems, generating massive event logs that conventional process mining and robotic process automation (RPA) tools struggle to interpret holistically. Rule based process discovery algorithms such as He...
Foundations of Translation Pedagogy: For EFL University Students introduces the teaching and learning of translation for Arabic-speaking EFL university students across the Arab world. Written translation is the main focus. Modern Standard Arabic and English examples work in both directions, linking teaching decisions t...
Munassir Alhamami· Zenodo (CERN European Organi...· 0 citations
Foundations of Language Policy and Planning: For EFL University Students is a free introductory textbook for adult university students worldwide who study through English as a foreign language. Part of the Applied Linguistics branch of English Language Studies for EFL University Students, it uses clear B2 academic Engl...
Munassir Alhamami· Zenodo (CERN European Organi...· 0 citations
Abstract. As artificial intelligence clusters reach gigawatt-scale, conventional facility engineering encounters hard physical barriers. The IT industry, which traditionally treats software as abstract logic, must confront the reality that code is energy shaped into information. This publication defines the framework o...
Rajmund Olszewski· Zenodo (CERN European Organi...· 0 citations
Smart workflow automation (SWA) — encompassing robotic process automation (RPA), AI driven process mining, low-code/no-code (LCNC) platforms, and cognitive or hyperautomation systems — has emerged as one of the fastest-growing research domains at the intersection of computer science, management information systems, and...
Skin diseases are among the most common diseases affecting 1.9 billion people worldwide. They remain a major cause of non-fatal disease burden, in part because diagnosis of skin diseases is often challenging due to high visual similarity of skin conditions, subjectivity of clinical diagnosis, and lack of dermatologists...
Vaidehi Solanki*, Satyajit Sahoo, Dhananjay B Meshram· Zenodo (CERN European Organi...· 0 citations
As AI-driven security tools grow more complex, their decision-making processes remain largely opaque to the analysts who depend on them. This chapter examines visualization and interpretability dashboards designed to bridge that gap - translating AI model reasoning into actionable, human-readable interfaces for securit...
Nidhi Bhavsar, Komal Madhukar Dhule, Apeksha Waghmare et al.· Advances in computational in...· 0 citations
Foundations of Comparative Literature: For EFL University Students introduces responsible comparison across literary texts, languages, cultures, and media. Designed for international EFL university students, it assumes no previous university course in comparative literature and develops specialist concepts through clea...
Munassir Alhamami· Zenodo (CERN European Organi...· 0 citations
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
