Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh by Mosaraf Hosan Nishat, Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Syed Nahin Hossain, Amimul Ahsan, M. M. El-Sergany, Md. Shafiquzzaman, Monzur Alam Imteaz, Mohammad T. Alresheedi

“…This study contributes to the field of environmental science by offering a novel integration of feature selection techniques with ML models to enhance efficiency and cost-effectiveness of water quality monitoring. …”
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GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions by Haixiong Ye, Wei Wang, Xiliang Zhang

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Real-Time Coordinate Estimation for SCARA Robots in PCB Repair Using Vision and Laser Triangulation by Nuwan Sanjeewa, Vimukthi Madushan Wathudura, Nipun Shantha Kahatapitiya, Bhagya Nathali Silva, Kasun Subasinghage, Ruchire Eranga Wijesinghe

“…The placement of Surface-Mount Device (SMD) components in PCB assembly is efficiently automated using robots and design software-generated coordinate files; however, the PCB repair process remains significantly more complex and challenging. …”
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Mechanical properties and energy absorption of CoCrNi functionally graded TPMS cellular structures by Zhaoyi Wang, Junxian Zhou, Yunzhuo Lu, Dongming Li, Deyu Yue, Xu Zhang, Bingzhi Chen

“…CoCrNi medium-entropy alloy (MEA), combining both high strength and ductility, which can significantly enhance the energy absorption efficiency and resistance to failure deformation of complex energy-absorbing structures. …”
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Automated Docking System for LNG Loading Arm Based on Machine Vision and Multi-Sensor Fusion by Rui Xiang, Wuwei Feng, Songling Song, Hao Zhang

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Enhancing Camera Source Identification: A Rapid Algorithm with Enhanced Discriminative Power by Zhimao Lai, Lijuan Cheng, Renhai Feng

“…The algorithm innovatively introduces a search priority queue (SPQ), which analyzes the global correlation between the query fingerprint and all reference fingerprints in the database to construct a comprehensive priority ranking, thereby achieving the efficient retrieval of matching fingerprints. Compared to the traditional brute-force search algorithm (BFSA), our method significantly reduces computational complexity in large-scale databases, optimizing from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>n</mi><mi>N</mi><mo>)</mo></mrow></semantics></math></inline-formula> to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>n</mi><mo form="prefix">log</mo><mi>N</mi><mo>)</mo></mrow></semantics></math></inline-formula>, where <i>n</i> is the length of the fingerprint, and <i>N</i> is the number of fingerprints in the database. …”
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Hybrid Beamforming Design on Riemannian Manifolds for Wideband MIMO Systems by Hyunwoo Nam, Girim Kwon, Hyuncheol Park

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Improving Chinese Fir Plantations DBH Inversion Accuracy Using Ensemble Learning Models Base on UAV-LiDAR by Jiuen Xu, Yinyin Zhao, Xuejian Li, Lujin Lv, Jiacong Yu, Meixuan Song, Lei Huang, Fangjie Mao, Huaqiang Du

“…This study explores the use of uncrewed aerial vehicle light detection and ranging (UAV-LiDAR) for individual tree DBH inversion in Chinese fir (<italic>Cunninghamia lanceolata</italic>) plantations with complex terrain and rich understory vegetation, and compares the results with those from Backpack-LiDAR. …”
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Enhancing sustainability in mining by reducing hauling energy consumption through optimization of distance and slope with semi-mobile in-pit crushers and conveyors by Rouzbeh Nikbin, Raheb Bagherpour, Ehsan Purhamadani, Arash Taherinia

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Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion by Beijing XIE, Heng LI, Hang DONG, Zheng LUAN, Ben ZHANG, Xiaoxu LI

“…However, there are several challenges that need to be addressed, such as the limited number of samples in the cmopd dataset, poor lighting conditions in underground images, overlapping and occlusion between operating cmopd, varying sitting postures of miners, difficulty in detecting small cmopd targets, complex model deployment, and low efficiency of traditional recognition methods for cmopd with different passenger-carrying statuses.To overcome these challenges, a cmopd dataset was created from various coal mines in Guizhou province. …”
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Identification of Lr-genes in the breeding lines of spring soft wheat, tolerant to the pathogen of brown rust in the Central Black earth region by Yu. V. Zeleneva, V. V. Plakhotnik, V. P. Sudnikova

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DNN-based Software Reliability Model for Fault Prediction and Optimal Release Time Determination by Shikha Dwivedi, Neeraj Kumar Goyal, Hariom Chaudhari

“…This comparative analysis highlights the model's enhanced predictive accuracy, computational efficiency, and less time complexity. Additionally, the predicted faults are used to determine the optimal release time, based on the customer's reliability requirements and the minimum cost necessary to achieve that reliability. …”
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Comparative Assessment of Functional and Morphological Markers in Guinea Pig (<i>Cavia porcellus</i>) Oocytes Collected at Different Estrous Cycle Phases by Jorge X. Samaniego, José L. Pesántez, Fernando P. Perea, Andrea P. Pazmiño, Jorge B. Dután, Salvador Ruiz

“…These findings indicate that both intrinsic (e.g., morphological quality) and extrinsic (e.g., estrous cycle stage) factors modulated oocyte competence. Selecting oocytes based on integrated morphological and physiological criteria may improve the efficiency of IVM protocols in this species.…”
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The Fluorescent Sensing of BF₃ and Amines: A Dual Approach with Hydrazone Ligands by Haichao Ye, Liqin Liu, Dagang Shen, Chang Song, Huanhuan Wang

“…In this study, we present two types of fluorescent sensors, a hydrazone ligand (HL)-based fluorescent sensor for BF₃ detection and a novel sensor array using six boron difluoride (BF₂) hydrazone complexes (BFHs) for monitoring VOAs and BAs. …”
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Discrete Phase Shift IRS-Assisted Energy Harvesting in Cognitive Radio Networks With Spectrum Sensing by Lilian Chiru Kawala, Guoquan Li, Mihertie Habtamu Demeke, Junzhou Xiong, Hao Xiong, Hang Hu

“…These results highlight the transformative potential of IRS with discrete phase shifts in enhancing EH-CRN efficiency, particularly in improving energy harvesting and SU throughput under practical constraints.…”
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A Simple Blind Sampling Frequency Offset Estimation Scheme for Short-Reach DD-OFDM Systems by Hong Wen, Kang Geng, Qinghui Chen, Rui Deng, Ming Chen, Tiezhu Zong, Kunping Luo, Fengnian Liu

“…It can achieve high-precision SFO estimation while ensuring low computational complexity as well as high spectral efficiency. The experimental results show that the SFO estimation accuracy using the proposed scheme can be significantly reduced to as low as &#x00B1;3 ppm when SFO ranges from &#x2212;1000 ppm to &#x002B;1000 ppm after 20-km standard single-mode fiber (SSMF) transmission. …”
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Comprehensive method for evaluating results of ultrasonic testing of parts and components of rolling stock when adjusting the sensitivity for different reflectors by A. N. KIREEV, V. V. BYKADOROV, M. A. KIREEVA

“…Diagnostics allows to increase the availability factor and the probability of uptime of the rolling stock, reduce the complexity and cost of periodic maintenance of its nodes. …”
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The Role and Forming of Internal Control Over the Economic Stability of Business Entities by A. N. Ryakhovskaya, M. V. Melnik

“…One of the major tasks of forming internal control and the audit of business entities in modern conditions is the timely detection of threats and risks of insolvency and the possibility of bankruptcy. …”
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Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion by Yucheng Pan, Jiasi Chen, Peiwen Wu, Hongsheng Zhong, Zihao Deng, Daozong Sun

“…Rail surface defects pose significant risks to the operational efficiency and safety of industrial equipment. Traditional visual defect detection methods typically rely on high-quality RGB images; however, they struggle in low-light conditions due to small, low-contrast defects that blend into complex backgrounds. …”
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Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation by Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa, Koki Hirooka, Md. Al Mehedi Hasan, Yoichi Tomioka, Yong Seok Hwang

“…Additionally, the growing incidence of falls among the elderly, coupled with the urgent need to prevent suicide attempts resulting from medication overdose, underscores the critical importance of accurate and efficient methods of detecting a fall. This makes a computer-aided fall detection system necessary to save elderly people’s lives worldwide. …”
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