Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning researchMendeley Data by Eram Mahamud, Md Assaduzzaman, Shayla Sharmin

“…The dataset aims to support the development of machine-learning models for precise disease detection and quality assessment in lentil cultivation. …”
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Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

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Assessing climate risks from satellite imagery with machine learning: A case study of flood risks in Jakarta by Jeasurk Yang, Donghyun Ahn, Junbeom Bahk, Sungwon Park, Nurrokhmah Rizqihandari, Meeyoung Cha

“…Consistent and timely assessment of climate risks is crucial for planning disaster mitigation and adaptation to climate change at the local community level. …”
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An Automated Image-Based Dietary Assessment System for Mediterranean Foods by Fotios S. Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis

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A Systematic Literature Review on Large Language Models Applications in Computer Programming Teaching Evaluation Process by Andre Fabiano Pereira, Rafael Ferreira Mello

“…This research examines which and how LLM-based opportunities are applied in the computer programming teaching assessment process and how LLMs are applied to improve evaluation accuracy, their impact on student learning outcomes, and the challenges in scaling these technologies. …”
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Real-Time Accurate Determination of Table Tennis Ball and Evaluation of Player Stroke Effectiveness with Computer Vision-Based Deep Learning by Zilin He, Zeyi Yang, Jiarui Xu, Hongyu Chen, Xuanfeng Li, Anzhe Wang, Jiayi Yang, Gary Chi-Ching Chow, Xihan Chen

“…To bridge this gap, we present an intelligent training system leveraging computer vision and machine learning for real-time performance analysis. …”
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Automated deep learning-based assessment of tumour-infiltrating lymphocyte density determines prognosis in colorectal cancer by Joshua Millward, Zhen He, Aiden Nibali, Dmitri Mouradov, Lisa A Mielke, Kelly Tran, Angela Chou, Nicholas J Hawkins, Robyn L Ward, Anthony J Gill, Oliver M Sieber, David S Williams

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Effects of computer-assisted learning for removable partial denture design on learning outcomes and satisfaction by Prinn Chantanahom, Chaiy Rungsiyakull, Marisa Sukapattee, Pisaisit Chaijareenont, Pimduen Rungsiyakull

“…Abstract Background Computer-assisted learning (CAL) has the potential to enhance learning outcomes and satisfaction. …”
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Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors by Ehsan Masoudian, Ali Mirzaei, Hossein Bagheri

“…Utilizing advanced remote sensing, geospatial information system (GIS) processing techniques such as cloud computing, and machine learning algorithms, this research analyzed the impact of climatic parameters, topographic features, and human-related factors on wildfire susceptibility assessment and prediction in Iran. …”
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Models of user experience quality in computer information systems by П. Р. Пелех, В. М. Юзевич

“…The benefits of this study include the development of a robust computational pipeline capable of bridging the gap between human-centered assessments and objective technical indicators, supporting proactive service adaptation, and enabling data-driven decisions in dynamic digital ecosystems. …”
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The hidden cost of digital learning: a cross-sectional study assessing the prevalence of computer vision syndrome (CVS) among medical students in Jordan by Hazim Alkousheh, Yara Alkousheh, Rana Qawaqzeh, Layan Al Juneidi, Lina Al-Zerikat, Ayat Hussain, Motasem Al-latayfeh

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Assessing Model Trade-Offs in Agricultural Remote Sensing: A Review of Machine Learning and Deep Learning Approaches Using Almond Crop Mapping by Mashoukur Rahaman, Jane Southworth, Yixin Wen, David Keellings

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Assessing Information-Seeking Behavior of Computer Science and Engineering Faculty. by Valerie K. Tucci

“… This study, the first phase of a multi-phase effort, was undertaken to assess and provide for the information needs of the Faculty of the Schools of Science and Engineering at The College of New Jersey (TCNJ) in the digital age. …”
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Assessment of computer and statistical literacy levels among medical students by N. Yu. Dmitrieva

“…The study revealed that medical students, on average, had high grades in both the computer science course (4.5±0.6 points) and the statistics course (4.4±0.6 points). …”
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Human Operator Mental Fatigue Assessment Based on Video: ML-Driven Approach and Its Application to HFAVD Dataset by Walaa Othman, Batol Hamoud, Nikolay Shilov, Alexey Kashevnik

“…For validation purposes, the approach was applied to a dataset, “Human Fatigue Assessment Based on Video Data” (HFAVD) integrating video data with features computed by using our computer vision deep learning models. …”
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Speech-based personality prediction using deep learning with acoustic and linguistic embeddings by Martin Lukac

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Assessing Computational Literacy in First Language (L1) Teaching by Roland Hachmann, Marie Falkesgaard Slot

“… This article addresses the multifaceted challenges of assessing computational literacy (CL) within the context of first language (L1) teaching. …”
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Cognitive Computing with Large Language Models for Student Assessment Feedback by Noorhan Abbas, Eric Atwell

“…Effective student feedback is fundamental to enhancing learning outcomes in higher education. While traditional assessment methods emphasise both achievements and development areas, the process remains time-intensive for educators. …”
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Integrating deep learning and machine learning for improved CKD-related cortical bone assessment in HRpQCT images: A pilot study by Youngjun Lee, Wikum R. Bandara, Sangjun Park, Miran Lee, Choongboem Seo, Sunwoo Yang, Kenneth J. Lim, Sharon M. Moe, Stuart J. Warden, Rachel K. Surowiec

“…High resolution peripheral quantitative computed tomography (HRpQCT) offers detailed bone geometry and microarchitecture assessment, including cortical porosity, but assessing chronic kidney disease (CKD) bone images remains challenging. …”
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Enhancing Road Safety on US Highways: Leveraging Advanced Computer Vision for Automated Guardrail Damage Detection and Evaluation by Alfarooq Al Oide, Dmitry Manasreh, Mohammad Karasneh, Mohamad Melhem, Munir D. Nazzal

Subjects: “…computer vision…”
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