Results 1 to 10 of about 299,509 (268)

Implicit Estimation of Paragraph Relevance From Eye Movements

Frontiers in Computer Science, 2022
Eye movements were shown to be an effective source of implicit relevance feedback in constrained search and decision-making tasks. Recent research suggests that gaze-based features, extracted from scanpaths over short news articles (g-REL), can reveal ...
Michael Barz, Michael Barz, Omair Shahzad Bhatti, Daniel Sonntag, Daniel Sonntag   +4 more
doaj   +1 more source

AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong

Frontiers in Artificial Intelligence, 2023
In recent years, deep neural networks for strategy games have made significant progress. AlphaZero-like frameworks which combine Monte-Carlo tree search with reinforcement learning have been successfully applied to numerous games with perfect information.
Jannis Blüml, Jannis Blüml, Johannes Czech, Kristian Kersting, Kristian Kersting, Kristian Kersting   +5 more
doaj   +1 more source

Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey

IEEE Access, 2022
Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the eye retina.
Mohammad Z. Atwany, Abdulwahab H. Sahyoun, Mohammad Yaqub   +2 more
doaj   +1 more source

Application of Machine Learning and Data Mining Techniques in Diagnosing Diabetes [PDF]

Advances in Engineering and Intelligence Systems
Diabetes is a metabolic disorder characterized by high blood glucose levels and is a major health burden worldwide due to serious complications such as cardiovascular disease and chronic renal failure.
Claire Murray, Ethan Parker, Emilia Mitchell   +2 more
doaj   +1 more source

PUF Modeling Attacks Using Deep Learning and Machine Learning Algorithms

Engineering Proceedings, 2023
The rapid advancement of technology has led to the pervasive presence of electronic devices in our lives, enabling convenience and connectivity. Cryptography offers solutions, but vulnerabilities persist due to physical attacks like malware.
Nelakudite Saadvikaa, Kenneth Jonathan Saketi, Akshitha Gopishetti, Bhavitha Degala, Kiran Kumar Anumandla   +4 more
doaj   +1 more source

Feature Extraction of Ophthalmic Images Using Deep Learning and Machine Learning Algorithms

Engineering Proceedings, 2023
Deep learning and Machine Learning Algorithms has become the most popular method for analyzing and extracting features especially in medical images. And feature extraction has made this task much easier.
Tunuri Sundeep, Uppalapati Divyasree, Karumanchi Tejaswi, Ummadi Reddy Vinithanjali, Anumandla Kiran Kumar   +4 more
doaj   +1 more source

Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification

Big Data and Cognitive Computing, 2023
Feature selection and feature extraction have always been of utmost importance owing to their capability to remove redundant and irrelevant features, reduce the vector space size, control the computational time, and improve performance for more accurate ...
Shilpa Gite, Shruti Patil, Deepak Dharrao, Madhuri Yadav, Sneha Basak, Arundarasi Rajendran, Ketan Kotecha   +6 more
doaj   +1 more source

Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation

npj Digital Medicine, 2022
In procedural-based medicine, the technical ability can be a critical determinant of patient outcomes. Psychomotor performance occurs in real-time, hence a continuous assessment is necessary to provide action-oriented feedback and error avoidance ...
Recai Yilmaz, Alexander Winkler-Schwartz, Nykan Mirchi, Aiden Reich, Sommer Christie, Dan Huy Tran, Nicole Ledwos, Ali M. Fazlollahi, Carlo Santaguida, Abdulrahman J. Sabbagh, Khalid Bajunaid, Rolando Del Maestro   +11 more
doaj   +1 more source

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands

IEEE Access, 2023
We present a novel end-to-end framework for solving the Vehicle Routing Problem with stochastic demands (VRPSD) using Reinforcement Learning (RL). Our formulation incorporates the correlation between stochastic demands through other observable stochastic
Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takac   +3 more
doaj   +1 more source

Automated Exam Room Allotment Using Cloud-Serverless Computing [PDF]

ITM Web of Conferences
Effective room allocation for examinations is an important administrative problem in educational institutions. Common methods, both manual and automated, do not succeed in avoiding clustering of students enrolled in the same course, hence there is a ...
S Indumathi, Mulgund Pavan, Patil Shilpa Prabhu, Y R Sampath Kumar   +3 more
doaj   +1 more source