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In recent years, machine learning has demonstrated impressive results in various fields, including software vulnerability detection. Nonetheless, using machine learning to identify software vulnerabilities presents new challenges,…

Cryptography and Security · Computer Science 2025-08-22 Sima Arasteh , Christophe Hauser

This paper systematically reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine learning methods are developing rapidly in polymer material research;…

Materials Science · Physics 2025-10-31 Hongtao Guo Shuai Li Shu Li

Over the past few years, we have seen fundamental breakthroughs in core problems in machine learning, largely driven by advances in deep neural networks. At the same time, the amount of data collected in a wide array of scientific domains…

Machine Learning · Computer Science 2020-03-27 Maithra Raghu , Eric Schmidt

Embedded distributed inference of Neural Networks has emerged as a promising approach for deploying machine-learning models on resource-constrained devices in an efficient and scalable manner. The inference task is distributed across a…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-07 Federico Nicolás Peccia , Oliver Bringmann

Cloud resource allocation has emerged as a major challenge in modern computing environments, with organizations struggling to manage complex, dynamic workloads while optimizing performance and cost efficiency. Traditional heuristic…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-18 Deep Bodra , Sushil Khairnar

Materials design and development typically takes several decades from the initial discovery to commercialization with the traditional trial and error development approach. With the accumulation of data from both experimental and…

Materials Science · Physics 2017-07-18 Xiaojiao Yu

Machine learning is increasingly transforming various scientific fields, enabled by advancements in computational power and access to large data sets from experiments and simulations. As artificial intelligence (AI) continues to grow in…

Computational Physics · Physics 2025-04-01 Sebastian Johann Wetzel , Seungwoong Ha , Raban Iten , Miriam Klopotek , Ziming Liu

The advancements in machine learning techniques have encouraged researchers to apply these techniques to a myriad of software engineering tasks that use source code analysis, such as testing and vulnerability detection. Such a large number…

Software Engineering · Computer Science 2022-09-14 Tushar Sharma , Maria Kechagia , Stefanos Georgiou , Rohit Tiwari , Indira Vats , Hadi Moazen , Federica Sarro

This paper presents a detailed case study of how artificial intelligence, especially large language models, can be integrated into historical research workflows. The workflow is divided into nine steps, covering the full research cycle from…

Computers and Society · Computer Science 2025-08-05 Christian Henriot

Archaeology is an intriguing domain for computer vision. It suffers not only from shortage in (labeled) data, but also from highly-challenging data, which is often extremely abraded and damaged. This paper proposes a novel semi-supervised…

Computer Vision and Pattern Recognition · Computer Science 2024-01-23 Offry Hayon , Stefan Münger , Ilan Shimshoni , Ayellet Tal

The role of artificial intelligence (AI) in material science and engineering (MSE) is becoming increasingly important as AI technology advances. The development of high-performance computing has made it possible to test deep learning (DL)…

Machine Learning · Computer Science 2023-04-28 Lipichanda Goswami , Manoj Deka , Mohendra Roy

In a world of daily emerging scientific inquisition and discovery, the prolific launch of machine learning across industries comes to little surprise for those familiar with the potential of ML. Neither so should the congruent expansion of…

Artificial Intelligence · Computer Science 2021-12-13 Brianna Richardson , Juan E. Gilbert

Artificial intelligence (AI) raises expectations of substantial increases in rates of technological and scientific progress, but such anticipations are often not connected to detailed ground-level studies of AI use in innovation processes.…

Computers and Society · Computer Science 2025-11-21 John P. Nelson , Olajide Olugbade , Philip Shapira , Justin B. Biddle

Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this paper, we survey the key studies that are published between…

Image and Video Processing · Electrical Eng. & Systems 2022-08-01 Ayman Al-Kababji , Faycal Bensaali , Sarada Prasad Dakua , Yassine Himeur

Machine learning-based medical anomaly detection is an important problem that has been extensively studied. Numerous approaches have been proposed across various medical application domains and we observe several similarities across these…

Machine Learning · Computer Science 2021-04-14 Tharindu Fernando , Harshala Gammulle , Simon Denman , Sridha Sridharan , Clinton Fookes

Over the past few years, deep learning methods have been applied for a wide range of Software Engineering (SE) tasks, including in particular for the important task of automatically predicting and localizing faults in software. With the…

Software Engineering · Computer Science 2024-02-09 Adil Mukhtar , Dietmar Jannach , Franz Wotawa

The number of studies that combine Evolutionary Machine Learning and self-supervised learning has been growing steadily in recent years. Evolutionary Machine Learning has been shown to help automate the design of machine learning algorithms…

Neural and Evolutionary Computing · Computer Science 2025-11-05 Adriano Vinhas , João Correia , Penousal Machado

Machine learning has proved useful in many software disciplines, including computer vision, speech and audio processing, natural language processing, robotics and some other fields. However, its applicability has been significantly hampered…

Machine Learning · Computer Science 2022-07-14 Natnael A. Wondimu , Cédric Buche , Ubbo Visser

Artificial intelligence represents a new frontier in human medicine that could save more lives and reduce the costs, thereby increasing accessibility. As a consequence, the rate of advancement of AI in cancer medical imaging and more…

Recently, the use of machine learning in meteorology has increased greatly. While many machine learning methods are not new, university classes on machine learning are largely unavailable to meteorology students and are not required to…

Atmospheric and Oceanic Physics · Physics 2022-08-16 Randy J. Chase , David R. Harrison , Amanda Burke , Gary M. Lackmann , Amy McGovern
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