A Three-Dimensional FDTD(2,4) Subgridding Algorithm for the Airborne Ground-Penetrating Radar Detection of Landslide Models by Lifeng Mao, Xuben Wang, Yuelong Chi, Su Pang, Xiangpeng Wang, Qilin Huang

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Performance Statistics of Autoregressive Short and Ultrashort Signal Detectors by V. M. Kutuzov, V. P. Ipatov, S. S. Sokolov

“…At the same time, parametric methods are not optimal when receiving single signals against the background of normal uncolored additive noise. …”
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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

“…The proposed study combines deep learning with Differential Evolution optimization in a hybrid method to improve fake news detection accuracy and system efficiency. …”
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Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method by Er Wang, Tianbao Huang, Zhi Liu, Lei Bao, Binbing Guo, Zhibo Yu, Zihang Feng, Hongbin Luo, Guanglong Ou

“…Compared to the optimal SGBoost model with the Lasso variable selection method (R² of 0.69, RMSE of 18.63 Mg/ha), the VIF-Lasso method improves R² by 0.06 and reduces RMSE by 2.15 Mg/ha, while the Lasso-GA method improves R² by 0.04 and reduces RMSE by 1.93 Mg/ha. …”
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Study on Hematological and Biochemical Index of Blood and Vitreous Humor in the Celestial-Eye Goldfish by Rongni Li, Yansheng Sun, Xin Zhang, Wentong Li

“…In this study, we conducted an exploration of blood collection, hematological and biochemical comparative analysis of the unique vitreous humor and blood of the celestial-eye goldfish (CE) (<i>Carassius auratus</i>), and obtained hematological and biochemical indicators for healthy celestial goldfish blood. After exploring the optimal method for collecting blood and ocular fluid, blood and vitreous humor samples were drawn from healthy CE, and an automatic hematology analyzer was used to measure 17 physiological indicators in the blood and vitreous humor. …”
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Discussion on transient electromagnetic detection transmitting frequency of groundwater in fire-burned rock in Jundong coalfield by Qiang WANG, Fei LING, Siwei LI, Liqiang FAN, Yuan LIU, Peng WANG, Bo HE, Chao WANG, Xi ZHENG, YILIHAMUJIANG·Tuniyazi, Xudong FAN

“…In order to determine the optimal transmitting frequency when we use transient electromagnetic method to detect groundwater in fire-burned rock in Jundong Coalfield, theoretical analysis, forward and inverse calculation and field test are used to conduct comparative analysis on the effects of rising edge time, formation resistivity and transmitting frequency, respectively. …”
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Energy-based segmentation methods for images with non-Gaussian noise by Jiatao Zhong, Shiyin Du, Canruo Shen, Yiting Chen, Min Gao, Medha Naidu, Xiaoping Shi, Yuejiao Fu

“…It can also automatically determine the optimal number of classifications. Furthermore, its iterative nature enables the detection and segmentation of small regions that other methods often fail to capture. …”
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Research on primary frequency regulation and VSC-HVDC frequency synchronization control coordination method for large-scale hydropower DC export regional grid by Hongchun Shu, Huaibin Gao, Zongxue Shao, Yongzan Cui, Wei Zhao

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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…This leads to some complexity in the method but solves typical problems of the classical algorithm, such as local minima, and increases the optimality and smoothness of the path. …”
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COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM by Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy

“…The article solves the following tasks: to analyze approaches to solving the problem – preprocessing methods, learning methods, hybrid methods and algorithmic approaches; to define and describe the oversampling algorithms most often used to balance datasets; to select classification algorithms that will serve as a tool for establishing the quality of balancing by checking the applicability of the datasets obtained after oversampling; to determine metrics for assessing the quality of classification for comparison; to conduct experiments according to the proposed methodology. …”
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Review of Non-Destructive Testing Methods for Defects in Insulating Polymers by Liming Wang, Yanxin Tu, Bin Cao, Yuhao Liu, Hongwei Mei, Lishuai Liu, Fanghui Yin

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Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines by Rab Nawaz, Abdul Wadood, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hani Albalawi, Aadel Mohammed Alatwi, Muhammad Sajid

“…By optimizing each phase of data processing from feature extraction to model learning, the proposed system effectively addresses fault detection, classification, and localization as a multi-classification problem. …”
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Monitoring Method and Performance Analysis of Climbing Scaffolds in Super High-Rise Buildings Based on BeiDou/GNSS Technology by Pengfei Wang, Gen Liu, Jian Wang, Ping Zhu, Jiaqi Guo, Jingxuan Zhang, Heyu Zhang, Yijia Liu

“…This study proposes a Global Navigation Satellite System (GNSS)-based real-time monitoring method to track scaffold displacement and assess structural performance. …”
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Efficient early-stage disease detection in pomegranate (Punica granatum) using convolutional neural networks optimized by honey badger optimization algorithm by Sameera P, Abhay A. Deshpande

“…This study presents a novel method for early-stage disease detection in pomegranate using a convolutional neural network (CNN) and honey badger optimization algorithm (HBOA). …”
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Development and evaluation of optimized PCR and indirect ELISA for the detection of Morganella morganii in dairy cows by Meihua Zhang, Jiayi Li, Jianfeng Xue, Huiling Xu, Muzi Li, Yibo Xia, Changxi Qi, Pu Zhang, Yongxia Liu, Jianzhu Liu

“…To mitigate this risk, rapid and reliable diagnostic methods for detection are essential. Currently, detection methods for M. morganii are underdeveloped, prompting us to develop both pathogenic and serological detection methods, including an optimized PCR technique and an indirect enzyme-linked immunosorbent assay (I-ELISA).MethodsThe optimized PCR method utilized bacterial suspensions directly as templates, bypassing the need for DNA extraction and thereby allowing the direct detection of M. morganii in fecal samples. …”
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Application of molecular genetic methods in rice breeding for cold resistance by E. V. Dubina, Z. K. Kizi Olimova

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Quality control methods for Aedes albopictus sterile male production. by Fabrizio Balestrino, Arianna Puggioli, Marco Carrieri, Jérémy Bouyer, Romeo Bellini

“…These simple and cost-effective tools provide a valuable method to detect and amend potentially sub-standard procedures in the sterile male production line and hence contribute to maintaining optimal quality and field performance of the mosquitoes being released.…”
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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards more efficient approaches. …”
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Development and Validation of Spectrophotometric Methods for the Determination of Rasagiline in Pharmaceutical Preparations by Serife Evrim Kepekci Tekkeli, Armağan Önal, Fatemeh Bahadori

“…The colored products were quantitated spectrophotometrically at 524, 535, and 843 nm for methods A, B, and C, respectively. Different variables affecting the reaction were optimized. …”
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Onboard LiDAR–Camera Deployment Optimization for Pavement Marking Distress Fusion Detection by Ciyun Lin, Wenjian Sun, Ganghao Sun, Bown Gong, Hongchao Liu

“…Therefore, an onboard light detection and ranging (LiDAR) and camera deployment optimization method is proposed for pavement marking distress detection to adapt to complex traffic conditions, such as shadows and changing light. …”
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