Development of a stereo vision-based UGV guidance system for bareroot forest nurseries by Sharif Shabani, Ashish R. Mulaka, Thomas A. Stokes, Tanzeel U. Rehman, Yin Bao

“…A depth image processing algorithm based on the Hough transform was employed to detect bed edge-lines, with the image-derived relative bed angle serving as the error signal for a proportional controller that corrected the vehicle’s heading and lateral deviation relative to the bed. …”
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A Machine Learning Aided Reference-Tone-Based Phase Noise Correction Framework for Fiber-Wireless Systems by Guo Hao Thng, Said Mikki

“…In recent years, the research involving the use of machine learning in the field of communication networks have shown promising results, in particular, improving receiver sensitivity against noise and link impairment. …”
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Modeling and Control of a Ballbot: A Systematic Approach by Mahmoud Abdelrahim, Mahmoud A. Thabet, Hossam S. Abbas, Mohamed M. M. Hassan, Mohamed H. Amin, Abdelrahman Morsi

“…The approach demonstrates a modular, low-complexity framework suitable for both research and educational platforms. Future work may explore extending this approach to more complex dynamic environments, advanced hardware, and nonlinear intelligent control strategies such as fuzzy logic and model predictive control.…”
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Exploring the adsorption desulfurization efficiency using RSM and ANN methodologies by Mahyar Mansouri, Mohsen Shayanmehr, Ahad Ghaemi

“…Abstract Zeolites, known for their extensive surface area and customizable adsorption characteristics, demonstrate significant efficiency in adsorptive desulfurization. This research investigates the application of Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) for modeling and optimizing the sulfur adsorption performance of modified zeolites. …”
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Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office by Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani

“…The main contribution of this research is the development of a comprehensive framework for evaluating and predicting tax office efficiency, providing valuable insights for improving performance.…”
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Polarization of road target detection under complex weather conditions by Feng Huang, Junlong Zheng, Xiancai Liu, Ying Shen, Jinsheng Chen

“…Experimental results on the PIRT-CW show that the YOLO-PRTD algorithm achieves a mAP0.5 of 89.83%, reducing the error rate by 15.54% compared to the baseline network YOLOX.…”
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A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance by Mokhtar Shouran, Mohammed Alenezi

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Performance of the Direct Sequence Spread Spectrum Underwater Acoustic Communication System with Differential Detection in Strong Multipath Propagation Conditions by Jan H. SCHMIDT, Iwona KOCHAŃSKA, Aleksander M. SCHMIDT

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Centralized Measurement Level Fusion of GNSS and Inertial Sensors for Robust Positioning and Navigation by Mohamed F. Elkhalea, Hossam Hendy, Ahmed Kamel, Ashraf Abosekeen, Aboelmagd Noureldin

“…In this context, the integration of Global Navigation Satellite System (GNSS) and inertial sensor technologies in smartphones has emerged as a critical solution to meet these demands. This research paper presents an algorithm that combines a GNSS with a modified downdate algorithm (MDDA) for satellite selection and integrates inertial navigation systems (INS) in both loosely and tightly coupled configurations. …”
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A damage zone detection method in concrete hydraulic structures based on multi-frequency ultrasonic characteristics by Jinchao Wang, Ming Chen, Nian Zhu, Houcheng Liu

“…Different damaged areas of concrete structures exhibit distinct characteristics of frequency acoustic signals, and these multi-frequency ultrasonic characteristics were studied in this research to improve the detection method of damaged areas in concrete hydraulic structures. …”
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Effectiveness of Vestibular Rehabilitation in Children Post-Concussion: A Systematic Review by Devashish Tiwari, Melisa Erdal, Kristyn Alonzo, Victoria Twombly, Paige Concannon, August West, Mairead O'Byrne

“… # Conclusion VRT shows promise and may result in symptom improvements in children post-concussion when used as part of a multimodal intervention plan. Further research with larger samples is recommended to make informed decisions about dosage and long-term functional outcomes in children post-concussion…”
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Evaluation of Hydropower Generation and Reservoir Operation under Climate Change from Kesem Reservoir, Ethiopia by Kinfe Bereda Mirani, Mesfin Amaru Ayele, Tarun Kumar Lohani, Tigistu Yisihak Ukumo

“…Bias, root mean square error, and coefficient of variation were used to check the accuracy of projected rainfall. …”
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Collaborative Optimization on Both Weight and Fatigue Life of Fifth Wheel Based on Hybrid Random Forest with Improved BP Algorithm by Huan Xue, Chang Guo, Xiaojian Peng, Saiqing Xu, Kaixian Li, Jianwen Li

“…The lightweight design enhances both the transport efficiency and fuel economy of the semi-trailer tractor. In this research, to achieve weight reduction while maintaining the wear-resistant failure protection performance in semi-trailer tractors, we selected a new material—special steel for saddles (SD600). …”
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Prevalence of Amblyopia in Hawler Eye Teaching Hospital by Lamyaa Jasim Abbas, Ahmed Ismail Abdulgani, Goran Mohammed Abdulla

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Tuberculosis risk factors in South Africa, 2008 to 2017: A Generalised Estimating Equations approach by Hilda Dhlakama, Siaka Lougue, Henry Godwell Mwambi

“…Continued efforts to use research to create a nation free of tuberculosis are underway.  …”
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Predictability and Impact of Structural Reinforcement on Unplanned Dilution in Sublevel Stoping Operations by Thaís Janine Oliveira, Anna Luiza Marques Ayres da Silva

“…Applying a site-specific linear calibration lowered the mean absolute dilution error from 0.126 m to 0.101 m (≈20%), with the largest improvement (≈29%) occurring in self-supported stopes where the unadjusted graph is least reliable. …”
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Predictions of Multilevel Linguistic Features to Readability of Hong Kong Primary School Textbooks: A Machine Learning Based Exploration by Zhengye Xu, Yixun Li, Duo Liu

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A latent Markov modelling approach to the evaluation of circulating cathodic antigen strips for schistosomiasis diagnosis pre- and post-praziquantel treatment in Uganda. by Artemis Koukounari, Christl A Donnelly, Irini Moustaki, Edridah M Tukahebwa, Narcis B Kabatereine, Shona Wilson, Joanne P Webster, André M Deelder, Birgitte J Vennervald, Govert J van Dam

“…We recommend LMMs as a useful methodology for monitoring and evaluation and treatment decision research as well as CCA for mapping surveys of S. mansoni infection, although additional diagnostic tools should be incorporated in schistosomiasis elimination programs.…”
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Assessing the accuracy of adherence and sexual behaviour data in the MDP301 vaginal microbicides trial using a mixed methods and triangulation model. by Robert Pool, Catherine M Montgomery, Neetha S Morar, Oliver Mweemba, Agnes Ssali, Mitzy Gafos, Shelley Lees, Jonathan Stadler, Andrew Nunn, Angela Crook, Richard Hayes, Sheena McCormack

“…<h4>Background</h4>Accurate data on adherence and sexual behaviour are crucial in microbicide (and other HIV-related) research. In the absence of a "gold standard" the collection of such data relies largely on participant self-reporting. …”
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Evaluating the Signal Contribution of the DTU21MSS on Coastal Mean Dynamic Topography and Geostrophic Current Modeling: A Case Study in the African–European Region by Hongkai Shi, Xiufeng He, Ole Baltazar Andersen

“…Furthermore, improvements in the MSS and its error information could directly enhance the deduced MDT models, highlighting its foundational role in precise oceanographic modeling.…”
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