A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…Detecting these surface defects is crucial; however, accurate and rapid detection typically involves complex machine vision algorithms, such as You Only Look Once (YOLO) networks, that require considerable computing resources, which contradicts the industry’s preference for simpler algorithms that can be deployed using low-cost computing power. …”
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Viral particle prediction in wastewater treatment plants using nonlinear lifelong learning models by Jianxu Chen, Ibrahima N’Doye, Yevhen Myshkevych, Fahad Aljehani, Mohammad Khalil Monjed, Taous-Meriem Laleg-Kirati, Pei-Ying Hong

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Masked pre-training of transformers for histology image analysis by Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour

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THE POSITION OF THE TONGUE AND VOLUME OF THE UPPER RESPIRATORY TRACT IN PATIENTS WITH MALOCCLUSION by O.A. Stasiuk

“… This study is a fragment of the planned research work "Features of rehabilitation of orthodontic patients in various ages" state registration No. 022U201229. …”
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Cross Layer Power Allocation by Graph Neural Networks in Heterogeneous D2D Video Communications by Shu-Ming Tseng, Sz-Tze Wen, Chao Fang, Mehdi Norouzi

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Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O₃) Prediction in Johannesburg, South Africa by Israel Edem Agbehadji, Ibidun Christiana Obagbuwa

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Nonlocal Moments and Mott Semimetal in the Chern Bands of Twisted Bilayer Graphene by Patrick J. Ledwith, Junkai Dong (董焌锴), Ashvin Vishwanath, Eslam Khalaf

“…The combination of these features leads to a question: Can decoupled moments emerge in an isolated topological band, despite the lack of exponentially localized Wannier orbitals? …”
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THE MODEL OF ASSESSING THE GENERAL INTENSITY OF RESISTANCE TO CHANGES IN AN ORGANIZATION by Lyudmyla Chernova, Oleksandra Mazurkevych, Liubava Chernova

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Metabolomic-genomic prediction realizes small increases in accuracy of estimated breeding values for daily gain in pigs by Xiangyu Guo, Pernille Sarup, Anders Bay Nord, Mark Henryon, Tage Ostersen, Ole F. Christensen

“…Results Parameter estimates from MGBLUP showed a direct heritability of ADG of 0.15, a proportion of variance explained by metabolomic features of 0.18, and a heritability of metabolomic intensities of 0.14, together resulting in a total heritability of 0.17. …”
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Multiscale simulations of amorphous and crystalline AgSnSe2 alloy for reconfigurable nanophotonic applications by Xueyang Shen, Siyu Zhang, Yihui Jiang, Tiankuo Huang, Suyang Sun, Wen Zhou, Jiangjing Wang, Riccardo Mazzarello, Wei Zhang

“…Abstract Chalcogenide phase‐change materials (PCM) have been explored in novel nonvolatile memory and neuromorphic computing technologies. Upon fast crystallization process, the conventional PCM undergo a semiconductor–to–semiconductor transition. …”
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AI-Assisted Design of Drain-Extended FinFET With Stepped Field Plate for Multi-Purpose Applications by Xiaoyun Huang, Hongyu Tang, Chenggang Xu, Yuxuan Zhu, Yan Pan, Dawei Gao, Yitao Ma, Kai Xu

“…Fin Field-Effect-Transistor (FinFET) has become fundamental components in advanced integrated circuit, while the drain-extended FinFET (DE-FinFET) features a lightly doped drain extension region to improve the device’s breakdown voltage. …”
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Identification of Earthquake Precursors Origin and AI Framework for Automatic Classification for One of These Precursors by Ghada Ali, Lotfy Samy, Omar M. Saad, Ali G. Hafez, El-Sayed Hasaneen, Kamal AbdElrahman, Ibrahim Salah, Mohammed S. Fnais, Hamed Nofel, Ahmed M. Mohamed

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Artificial intelligence-based multi-expression programming prediction of magnetized radiative nanofluid flow between coaxial deformable tubes by Bilal Ahmed, Dong Liu, Bouthaina Dammak, Naeem Ullah, Afraz Hussain Majeed, Hafedh Mahmoud Zayani, Binjuan Zhao

“…Eckert number depicts higher impact on the thermal features of fluid as compare to other parameters.…”
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Machine learning-assisted image analysis techniques for glaucoma detection by Vaibhav Yadav, Barnali Dey, Udayan Baruah, Saumya Das, Om Prakash

“…To address these issues, a combination of Artificial Intelligence, Image Processing, and computer vision-based models are being developed for easy and rapid glaucoma diagnosis. …”
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Magnetic Resonance Imaging Brain Segmentation Using Bi-Directional Convolutional Long Short-Term Memory U-Net With Densely Connected Convolutions by Meshari D. Alanazi, Amna Maraoui, Imen Werda, Ahmed Ben Atitallah, Turki M. Alanazi, Mohammed Albekairi, Anis Sahbani, Amr Yousef

“…Our method enhances spatial feature learning employing dense connections, and catches complex temporal links across MRI slices. …”
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Multimodal deep learning for enhanced temperature prediction with uncertainty quantification in directed energy deposition (DED) process by Adrian Matias Chung Baek, Taehwan Kim, Minkyu Seong, Seungjae Lee, Hogyeong Kang, Eunju Park, Im Doo Jung, Namhun Kim

“…The proposed methodology implements multimodal data fusion, combining reproduced grayscale images of deposition strategy with numerical process variables, including process parameters, geometrical features, and printing process status. …”
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Hybrid Convolutional Neural Network-Based Intrusion Detection System for Secure IoT Networks by Sami Qawasmeh, Ahmad Habboush, Bassam Elzaghmouri, Qasem Kharma, Da'ad Albalawneh

“…System logs and their features are selected for data collection, followed by preprocessing to remove noise. …”
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Comparative Analysis of Structural Differences in Progressive Collapsing Foot Deformities with and without Hallux Valgus by Chien-Shun Wang MD, Andrew Behrens BS, Grayson M. Talaski, Erik Jesus Huanuco Casas MD, Kepler A.M. Carvalho MD, Antoine Acker MD, Tommaso Forin Valvecchi MD, Karl M. Schweitzer MD, FAAOS, Mark E. Easley MD, Cesar de Cesar Netto MD, PhD

“…Talar-first metatarsal angle was the only traditional two-dimensional radiographic parameter that correlated with HV deformity. Based on our findings, PCFD patients displaying these features might need HV preventive measures. …”
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Small world properties of schizophrenia and OCD patients derived from fNIRS based functional brain network connectivity metrics by Ata Akın, Emre Yorgancıgil, Ozan Cem Öztürk, Bernis Sütçübaşı, Ceyhun Kırımlı, Elçim Elgün Kırımlı, Seda Nilgün Dumlu, Gülnaz Yükselen, S. Burcu Erdoğan

“…For each subject and stimuli type, FCMs were derived separately which were then used to compute small world features that included (i) global efficiency (GE), (ii) clustering coefficient (CC), (iii) modularity (Q), and (iv) small-world parameter ( $$\sigma $$ σ ). …”
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Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies by Ejay Nsugbe, Oluwarotimi Williams Samuel, Jose Javier Reyes-Lagos, Dawn Adams, Olusayo Obajemu

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