Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System (UAS)-Collected Data: A Machine Learning (ML) Approach by Rojal Pokhrel, Reihaneh Samsami, Saida Elmi, Colin N. Brooks

“…Traditionally, bridge inspections are performed manually, which poses several challenges in terms of safety, efficiency, and accessibility. To address these issues, this research study introduces a method using Unmanned Aerial Systems (UASs) to help automate the inspection process. …”
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Design of long‐wavelength infrared InAs/InAsSb type‐II superlattice avalanche photodetector with stepped grading layer by Keming Cheng, Kai Shen, Chuang Li, Daqian Guo, Hao Wang, Jiang Wu

“…Avalanche photodetectors (APDs) offer excellent responsivity but are plagued by high dark current during the multiplication process. Here, we propose a high‐performance type‐II superlattices (T2SLs) LWIR APD to address these issues. …”
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Enhanced Homomorphic Encryption for Cloud Security Through Individual Optimization by Radha Marepalli, Sunitha Vanamala, Manoj Kumar Konda, Venkata Rama Lakshmi Gundala, Prasanthi B.

“…Cloud computing is susceptible to a wide range of security issues since it is decentralized. Inappropriate actors may take advantage of these vulnerabilities. …”
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Exploring the Role of Masculinity in Male Suicide: A Systematic Review by Carmen M. Galvez-Sánchez, Julio A. Camacho-Ruiz, Lorys Castelli, Rosa M. Limiñana-Gras

“…Masculinity is a complex construct shaped by socialization processes that begin early in life. The aim of this study is to explore the influence of masculinity on suicidal behaviors among men. (2) Methods: This systematic review was conducted in accordance with the Cochrane and PRISMA guidelines. …”
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Research on path planning of mobile robots based on improved A* algorithm by Xing Fu, Zucheng Huang, Gongxue Zhang, Weijun Wang, Jian Wang

“…To address the issues of low search efficiency, excessive node expansion, and the presence of redundant nodes in the traditional A* algorithm, this article proposes an improved A* algorithm for mobile robot path planning. …”
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Semantic Co-Occurrence and Relationship Modeling for Remote Sensing Image Segmentation by Yinxing Zhang, Haochen Song, Qingwang Wang, Pengcheng Jin, Tao Shen

“…However, RS semantic segmentation is hindered by issues like class imbalance, occlusion, blurring, and small target sizes. …”
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Extracting Target Components from Fresh and Refined Sac Roe: Kinetic Patterns by Zarema M. Arabova, Albert Kh.-Kh. Nugmanov, Dmitry M. Borodulin, Igor Yu. Aleksanyan, Olga I. Konnova

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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

“…This motivates us to reconsider how the background should be represented. To address these issues, we propose an innovative HAD method that integrates background dictionary learning into the anomaly decomposition process. …”
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Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach by Kwang Su Cha, Bongseog Kim, Jun-Young Lee, Hanik Yoo, Hanik Yoo

“…BackgroundThe diagnosis of attention deficit hyperactivity disorder (ADHD) relies on comprehensive approaches, including clinical interviews, scales, and neuropsychological assessments. However, the process is often limited by issues of reliability and availability.ObjectiveThis study aims to develop a robust machine learning (ML) model using large-scale data from the Comprehensive Attention Test (CAT) to predict ADHD diagnoses.MethodsA total of 11,429 participants were recruited across South Korea and underwent the CAT. …”
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Account of eco‐friendly energy conversion reaction: Iron‐based nitrogen electrofixation by Liyuan Xu, Zheng Zhu, Jingjing Duan, Sheng Chen

“…The conventional Haber–Bosch method is still in use in the industry today to manufacture NH3, and the production process emits a significant quantity of CO2, which does not match the current standards for the achievement of carbon neutrality. …”
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Adaptive Control Parameter Optimization of Permanent Magnet Synchronous Motors Based on Super-Helical Sliding Mode Control by Lingtao Kong, Hongxin Zhang, Tiezhu Zhang, Junyi Wang, Chaohui Yang, Zhen Zhang

“…Optimizing control rate parameters is one of the key technologies in motor control systems. To address the issues of weak robustness and slow response speed in traditional adaptive control strategies, an adaptive control system based on sliding mode control is proposed to enhance the overall performance of permanent magnet synchronous motors. …”
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Microbiota as diagnostic biomarkers: advancing early cancer detection and personalized therapeutic approaches through microbiome profiling by Majid Eslami, Ramtin Naderian, Aisa Bahar, Ali Babaeizad, Solaleh Rezanavaz Gheshlagh, Valentyn Oksenych, Hamed Tahmasebi

“…Despite these developments, there are still issues, such as individual variations in microbial composition, a lack of standardized procedures, and the requirement for reliable biomarkers. …”
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MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields by Jaeyoung Chung, Kanggeon Lee, Sungyong Baik, Kyoung Mu Lee

“…We observe that previous incremental learning algorithms are limited by either low performance or memory scalability issues. As such, we develop a Memory-Efficient Incremental Learning algorithm for NeRF (MEIL-NeRF). …”
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Fingerprinting using vibrational spectroscopy and chemometrics for determining the presence of non-halal meats in food products by Claude Mona Airin, Muhammad Jefriyanto Budikafa, Yuny Erwanto, Sudjadi Sudjadi, Pudji Astuti, Sarmin Sarmin, Anjar Windarsih, Abdul Rohman

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Recent Trends in Azeotropic Mixture Separation: A Comprehensive Review by Christel Cortel, Kristine Oira Flordeliza, Shayne Ruzzel A. Galvez, Maria Angeline Magalong, Trisha Mae G. Mendoza, Rubi Vicente C. Rubi

“…This paper seeks to examine the current trends employed in the separation procedures for azeotropic mixtures in industry, particularly the techniques and methods applied in the actual processes. Additionally, this paper also outlines the common issues encountered in the current setups for the separation of azeotropic mixtures. …”
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Analysis of Customer Reviews on Korean Restaurant Experience: The Case of Zomato Istanbul by Nihan Yarmacı, Ela Nazlı Köz, Seray Evren

“…In line with the findings, it was discovered that Korean restaurant customers gave importance to the taste of food and beverages, staff and service, facility, price, authenticity and menu related issues respectively.…”
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Robust quantum control using reinforcement learning from demonstration by Shengyong Li, Yidian Fan, Xiang Li, Xinhui Ruan, Qianchuan Zhao, Zhihui Peng, Re-Bing Wu, Jing Zhang, Pengtao Song

“…We also find that the training process is more stable when using RLfD. In addition, this method is suitable for fast gate calibration using reinforcement learning.…”
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Integrating Climate Change Education into Secondary School English Lessons: A Project-Based Approach Using Trade Books by Masitoh Masitoh, Sary Silvhiany, Rita Inderawati

“…Conducted at the Public Junior High School Lalan, a remote area in South Sumatra, the study aimed to enhance students' climate literacy by exploring their existing knowledge, addressing climate change topics in the classroom, and identifying challenges in the implementation process. A total of 52 ninth-grade students, selected through purposive sampling, participated in the study. …”
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Recognizing and Describing the Factors Affecting the Design of the Innovation Ecosystem Model in the Field of Health with an Emphasis on the Role of E-Government by Zahra Mirjalili, Abbas Babaeinejad, Saeed Sayadi, Hamid Reza Mollaei

“…Background: Development of innovation issues in countries has led to the formation of new concepts in this field. …”
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Effect of catalyst in the synthesis of orange peel biomass derived CNTs by Sadika Farsana, Moh’d Rezeq, Sufian Abedrabbo, Dirar Homouz, Shashikant P. Patole, Jamal Hassan

“…This study presents a novel synthesis method for producing multi-walled CNT with an average diameter of 10 nm. The process involves a two-stage pyrolysis of dried orange peel catalyzed by ferrocene and purification with concentrated sulfuric acid. …”
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