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Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups

Ebtisam AlJalaud, Manar Hosny • Mathematics (2024)

The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...

DOAJ Open Access (DOAJ) DOI: 10.3390/math12233727

DCN-Deeplabv3+: A Novel Road Segmentation Algorithm Based on Improved Deeplabv3+

Hongming Peng, Siyu Xiang, Mingju Chen, Hongyang Li et al. • IEEE Access (2024)

Road segmentation is an important task in the field of semantic segmentation, and the Deeplabv3+ algorithm, which is commonly used for road segmentation, has shortcomings, such as numerous parameters and a tendency to lose detailed informat...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3416468

A machine learning approach predicts future risk to suicidal ideation from social media data

Arunima Roy, Katerina Nikolitch, Rachel McGinn, Safiya Jinah et al. • npj Digital Medicine (2020)

Abstract Machine learning analysis of social media data represents a promising way to capture longitudinal environmental influences contributing to individual risk for suicidal thoughts and behaviors. Our objective was to generate an algori...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-020-0287-6

A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis

Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access (2023)

Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3332243

Investigations on Rockmass Structure Characteristics and Mechanical Mining Efficiency and Economics in the Jinchuan No. 3 Mine With Hard Rock

Jian Zhao, Dan Huang, Daming Zhu, Mingyue Wang et al. • Advances in Civil Engineering (2026)

Geomechanical characterization is crucial for assessing the feasibility of the mechanical construction method in geotechnical engineering, which is a construction method that neither uses explosives nor involves blasting operations. But for...

DOAJ Open Access (DOAJ) DOI: 10.1155/adce/2598677

Artificial Intelligence Review

Amal Kilani, Ahmed Ben Hamida, Habib Hamam • IGI Global eBooks (2017)

In this paper, we present a profound literature review of the Artificial Intelligence (AI). After defining it, we briefly cover its history and enumerate its principal fields of application. We name for example information system, commerce,...

OPENALEX DOI: https://doi.org/10.4018/978-1-5225-2255-3.ch010

Artificial intelligence in reproductive medicine

Renjie Wang, Wei Dong Pan, Lei Jin, Yuehan Li et al. • Reproduction (2019)

Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from the experimental to the implementation phase in various fields, including medicine. Advances in learning algorithms and theories, the availabilit...

OPENALEX cc-by DOI: https://doi.org/10.1530/rep-18-0523 PMC: 6733338

Artificial Intelligence for Intraoperative Guidance

Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto et al. • Annals of Surgery (2020)

OBJECTIVE: The aim of this study was to develop and evaluate the performance of artificial intelligence (AI) models that can identify safe and dangerous zones of dissection, and anatomical landmarks during laparoscopic cholecystectomy (LC)....

OPENALEX Open Access DOI: https://doi.org/10.1097/sla.0000000000004594 PMC: 8186165

Artificial intelligence in plant breeding

Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, Zhangping Huang et al. • Trends in Genetics (2024)

Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing nume...

OPENALEX cc-by-nc DOI: https://doi.org/10.1016/j.tig.2024.07.001

Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data

Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications (2023)

Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40478-023-01686-8

An automated deep learning framework for brain tumor classification using MRI imagery

Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports (2025)

Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-02209-2

AI-driven data fusion modeling for enhanced prediction of mixed-mode I/III fracture toughness

Anantaya Timtong, Atthaphon Ariyarit, Wanwanut Boongsood, Prasert Aengchuan et al. • Results in Engineering (2024)

This research evaluates the use of artificial intelligence to enhance the accuracy of predictions for mixed-mode I/III fracture toughness in polymethyl methacrylate . Traditionally, assessing fracture toughness relies heavily on destructive...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2024.103289

IEEE Access Special Section Editorial: 5G and Beyond Mobile Wireless Communications Enabling Intelligent Mobility

Ke Guan, Markus Rupp, Thomas Kurner, Cesar Briso et al. • IEEE Access (2020)

Increasing urbanization is one major trend that shapes tomorrow’s society; by 2050, more than 85% of the developed world’s population will live in a comparatively small number of ever-growing cities. Within such cities ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3037635

The Effects of Large Language Models on the Generation of Multiple-choice Questions in Medical Education: A Scoping Review

Baleegh Elsir Ahmed Mohammed, Tanzeel Elsir Ahmed Mohammed, Anthony Paul Breitbach • Sudan Journal of Medical Sciences (2026)

Background: Constructing high-quality multiple-choice questions (MCQs) is critical yet resource-intensive in medical education. Large language models (LLMs), such as ChatGPT, have become promising tools for generating MCQs in medical educat...

DOAJ Open Access (DOAJ) DOI: 10.18502/sjms.v21i2.19868

A physics-informed spatiotemporal graph neural network for photovoltaic power forecasting and micro-anomaly localization

Mortatha Faleh Majed, Ali S. Abed Al Sailawi, Hassan A. Hameed Al-Hamzawi • Next Energy (2026)

Accurate power forecasting and precise fault diagnosis are critical for the reliable operation of large-scale photovoltaic systems. However, existing data-driven models often fail to capture complex spatiotemporal dependencies and lack phys...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nxener.2026.101127