Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…Convolutional neural networks (CNNs) are increasingly recognized as an important and potent artificial intelligence approach, widely employed in many computer vision applications, such as facial recognition. …”
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Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid by Burhan U. Din Abdullah, Suman Lata Dhar, Shiva Pujan Jaiswal, Muhammad Majid Gulzar, Muhammad Majid Gulzar, Mohammad Alqahtani, Muhammad Khalid, Muhammad Khalid

“…Traditional Maximum Power Point Tracking (MPPT) methods struggle to adapt accurately to these dynamic environmental conditions. While Artificial Intelligence (AI) and optimization techniques show promise, their implementation complexity and longer attainment times for Maximum Power Point (MPP) hinder widespread adoption.MethodThis paper proposes a hybrid MPPT technique that integrates the Pelican Optimization algorithm (POA) with the Perturb and Observe algorithm (P&O) for a grid-connected photovoltaic system (PV). …”
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Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction by Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Salih, Roland Yonaba, Ufuk Beyaztas, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

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PENIAPHOBIA AS A COMPONENT OF THE DESTRUCTIVE DIGITAL MEDIA DISCOURSE IN THE ASIA-PACIFIC REGION by Margarita D. Lagutkina, Zhang Yi, Chang Thi Thu Huong

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Dissolved Gas Analysis for Fault Prediction in Power Transformers Using Machine Learning Techniques by Sahar R. Al-Sakini, Ghassan A. Bilal, Ahmed T. Sadiq, Wisam Abed Kattea Al-Maliki

“…With respect to the advanced machine learning method, the transformer fault diagnosis based on the MLMs was exceedingly more accurate in its predictions than the conventional and artificial intelligence-based methods.…”
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Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopath... by Alessandro Massaro, Gerardo Cazzato, Giuseppe Ingravallo, Nadia Casatta, Carmelo Lupo, Angelo Vacca, Florenzo Iannone, Francesco Girolamo

“…We assessed the potential for artificial intelligence (AI) to extract features such as density of endomysial microvessels based on automatic analysis of the CD31+ vascular network on muscle biopsy images. …”
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Corrigendum: Physical parameters and biological factors affect the abscopal effect of combining radiotherapy with immunotherapy: an update on preclinical works by Wangcai Ren, Jialing Wen, Gang Guo, Gang Guo, Wenchao Gu, Shenke Zhang, Shenke Zhang, Chang Liu, Chang Liu, Kensuke Osada, Takashi Shimokawa, Qiaojuan Wang, Qiaojuan Wang, Yue Wang, Yue Wang, Xuanzhang Tu, Chen Li, Li Sui, Liqiu Ma, Liqiu Ma, Liqiu Ma

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A deep learning analysis for dual healthcare system users and risk of opioid use disorder by Ying Yin, Elizabeth Workman, Phillip Ma, Yan Cheng, Yijun Shao, Joseph L. Goulet, Friedhelm Sandbrink, Cynthia Brandt, Christopher Spevak, Jacob T. Kean, William Becker, Alexander Libin, Nawar Shara, Helen M. Sheriff, Jorie Butler, Rajeev M. Agrawal, Joel Kupersmith, Qing Zeng-Trietler

“…We conducted a retrospective study of 856,299 patient instances from the Washington DC and Baltimore VA Medical Centers (2012–2019), using a deep neural network (DNN) and explainable Artificial Intelligence to examine the impact of dual-system use on OUD and how demographic and clinical factors interact with it. …”
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fragSMILES as a chemical string notation for advanced fragment and chirality representation by Fabrizio Mastrolorito, Fulvio Ciriaco, Maria Vittoria Togo, Nicola Gambacorta, Daniela Trisciuzzi, Cosimo Damiano Altomare, Nicola Amoroso, Francesca Grisoni, Orazio Nicolotti

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SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression by Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip Harris

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Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform by Jan Benedict Spannenkrebs, Aron Eiermann, Thomas Zoll, Silke Hackenschmidt, Johannes Kabisch, Johannes Kabisch, Johannes Kabisch

“…As a result, even in times of rapidly advancing artificial intelligence, the common design-build-test-learn (DBTL) cycle is still not circular without human intervention. …”
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Influence of Support Vector Regression (SVR) on Cryogenic Face Milling by Rao M. C. Karthik, Rashmi L. Malghan, Fuat Kara, Arunkumar Shettigar, Shrikantha S. Rao, Mervin A. Herbert

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AI-powered estimation of tree covered area and number of trees over the Mediterranean island of Cyprus by Anna Zenonos, Sizhuo Li, Martin Brandt, Jean Sciare, Philippe Ciais

“…The exact tree population inside and outside forests is currently unknown. Artificial Intelligence is a powerful tool that can enable the development of tree monitoring systems by applying machine learning models to high-resolution image data. …”
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Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study by Michael Axenhus, Anna Wallin, Jonas Havela, Sara Severin, Ablikim Karahan, Max Gordon, Martin Magnéli

“… Background and purpose: Hand fractures are commonly presented in emergency departments, yet diagnostic errors persist, leading to potential complications. The use of artificial intelligence (AI) in fracture detection has shown promise, but research focusing on hand metacarpal and phalangeal fractures remains limited. …”
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Smart furniture using radar technology for cardiac health monitoring by Ali Gharamohammadi, Mohammad Omid Bagheri, Serene Abu-Sardanah, Michael M. Y. R. Riad, Hajar Abedi, Ahmad Ansariyan, Kang Wang, Ashish Saragadam, Dmytro Chumachenko, Shahabeddin Abhari, Plinio Pelegrini Morita, Amir Khajepour, George Shaker

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Integrating testing and modeling methods to examine the feasibility of blended waste materials for the compressive strength of rubberized mortar by Amin Muhammad Nasir, Nassar Roz-Ud-Din, Khan Kaffayatullah, Ul Arifeen Siyab, Khan Mubasher, Qadir Muhammad Tahir

“…Furthermore, artificial intelligence prediction models were developed using experimental data to assess the fc′{f}_{\text{c}}^{^{\prime} } of rubberized mortar. …”
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Real-time detection of road surface friction coefficient: A new framework integrating diffusion model and Transformer in Transformer algorithms by Zhangcun Yan, Lishengsa Yue, Wang Luo, Jian Sun

“…The primary contribution of this study is the integration of generative artificial intelligence and computer vision algorithms to enhance RSFC recognition accuracy. …”
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Diagnosis of Non-Tumor Stenosing Lesions of the Major Duodenal Papilla Using Endoscopic Ultrasonography by V. A. Belozerov, O. I. Okhotnikov, N. A. Korenevskiy, V. A. Prokopov, S. N. Grigoriev, S. M. Shevyakin

“…The combination of endoscopic ultrasonography with fuzzy logic technologies based on hybrid artificial intelligence made it possible to objectify the diagnosis of MDP stenosis and optimize indications for transpapillary interventions.…”
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Semantic-Injected Bidirectional Multiscale Flow Estimation Network for Infrared and Visible Image Registration by Chunna Tian, Liuwei Xu, Xiangyang Li, Heng Zhou, Xiqun Song

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Precision Imaging for Early Detection of Esophageal Cancer by Po-Chun Yang, Chien-Wei Huang, Riya Karmakar, Arvind Mukundan, Tsung-Hsien Chen, Chu-Kuang Chou, Kai-Yao Yang, Hsiang-Chen Wang

“…Hyperspectral imaging (HSI) and artificial intelligence (AI) technologies offer promising avenues for enhancing diagnostic accuracy in this context. …”
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