Short‐term load forecasting facilitated by edge data centres: A coordinated edge‐cloud approach by Junlong Li, Lurui Fang, Xiangyu Wei, Mengqiu Fang, Yue Xiang, Peipei You, Chao Zhang, Chenghong Gu

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Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

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Cybersecurity in Connected and Autonomous Vehicles: A Systematic Review of Automotive Security by Rafael Abreu, Frederico Branco, Manuel J. Cabral S. Reis, Carlos Serodio

“…Providing awareness and training is also essential to mitigate human error. These findings are a foundation for designing more resilient and secure Connected and Autonomous Vehicles systems.…”
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Evaluating the Accuracy of BMP280 and BME280 Sensors for Sea Level in a Coastal Environment: A Field Study at Tanjung Siambang Pier by Hollanda Arief Kusuma, Yuliani Yuliani, Tonny Suhendra, Dhanushka Devendra, Dwi Eny Djoko Setyono

“…Linear regression was used to decrease the error value. After calibration, BME280 and BMP280 did not differ with the BMKG sensor using one-way ANOVA and Tukey test. …”
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Deep Learning-Based Algorithm for the Classification of Left Ventricle Segments by Hypertrophy Severity by Wafa Baccouch, Bilel Hasnaoui, Narjes Benameur, Abderrazak Jemai, Dhaker Lahidheb, Salam Labidi

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Correlation of sulfide with SRB and sulfate in polymer flooding injection-production system by SUN Hongyu, ZHONG Liguo, ZHU Yu, ZHANG Zhilong, ZUO Li’na, ZHU Jianjian, ZHOU Yangyang

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The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model by Jiaxin Wang, Ying Yang, Xian Yang, Yulong Lu, Yang Liu, Da Hu, Yongjia Hu

“…When validated against 20 datasets from a representative karst region, the proposed model achieved exceptional performance, with a mean absolute error (MAE) of 0.0544 and a coefficient of determination (R2) of 0.9914, significantly surpassing the prediction accuracy of conventional ELM and SSA-ELM models. …”
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Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China by Zhonghe Zhao, Yuyang Li, Kun Liu, Chunsheng Wu, Bowei Yu, Gaohuan Liu, Youxiao Wang

“…After vegetation suppression, the coefficient of determination (R²) exceeded 0.8 for all soil layers, while the mean absolute error (MAE) decreased by 35.1% to 49.8%. This research innovatively integrates optical–radar–thermal multi-source data and a physically driven vegetation suppression strategy to achieve high-accuracy, meter-scale dynamic mapping of soil moisture in vegetated areas. …”
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Hybrid statistical-algorithmic approach using the frog algorithm to optimize blast patterns for reducing blast vibrations by Abbas Khajouei Sirjani, Farhang Sereshki, Mohammad Ataei, Manoj Khandelwal, Hojatollah Mohammadi Anayi, Seyed Mohammad Mehdi Mousavi Nasab, Mohammad Amiri Hosseini

“…Addressing a notable gap in blast engineering, this research uniquely integrates statistical models and optimization algorithms for vibration control. …”
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Constitutive modelling and microstructural analysis of 92W-5Co-3Ni alloy subjected to high strain rate testing at elevated temperatures by Suswanth Poluru, Aarjoo Jaimin, Nitin R. Kotkunde, Swadesh Kumar Singh, Amit Kumar, Ashutosh Panchal, Prabhu Gnanasambandam

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Ionospheric Correction Based on Ingestion of Global Ionospheric Maps into the NeQuick 2 Model by Xiao Yu, Chengli She, Weimin Zhen, Nava Bruno, Dun Liu, Xinan Yue, Ming Ou, Jisheng Xu

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Load Model Construction and Parameter Identification Method of Inverter-Interfaced Distributed Generator by Jie LI, Jie WANG, Wenteng LIANG, Lushan SHI, Bolun WANG, Yufeng XIONG, Liangju ZHANG, Xia ZHOU

“…[Introduction] Distributed generation (DG) has a significant impact on the operational characteristics of the load side of the power grid. However, current research focuses mainly on analyzing and modeling the characteristics of a single type of distributed generation, and there is limited research on general models that can uniformly describe DGs with certain similarities. …”
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Indoor Localization Methods for Smartphones with Multi-Source Sensors Fusion: Tasks, Challenges, Strategies, and Perspectives by Jianhua Liu, Zhijie Yang, Sisi Zlatanova, Songnian Li, Bing Yu

“…Among these, wireless medium-based positioning methods are prone to interference from signals and obstacles in the indoor environment, while inertial sensors are limited by error accumulation. The fusion of multi-source sensors in complex indoor scenarios benefits from the complementary advantages of various sensors and has become a research hotspot in the field of pervasive indoor localization applications for smartphones. …”
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An instrument of screening criteria to assess individualized high-risk sexual behavior to be applied in the Brazilian population: translation and cross-cultural adaptation by Miriane Lucindo Zucoloto, Guilherme Galdino, Edson Zangiacomi Martinez

“…The aim of FAIR is to reduce error while increasing reliable and accurate reporting of sexual behaviors associated with both objective and subjective estimates of infection risk. …”
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A creep constitutive model for Inconel 718-BNi2 brazed joints incorporating the dynamic interplay between dislocations and γ'' precipitate phases by Rui Zhao, Xin shun Diao, Zong peng Tian, Xiaotong Liu, Min Wan

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UV-Vis spectroscopy coupled with firefly algorithm-enhanced artificial neural networks for the determination of propranolol, rosuvastatin, and valsartan in ternary mixtures by Ahmed Serag, Maram H. Abduljabbar, Yusuf S. Althobaiti, Farooq M. Almutairi, Shaker T. Alsharif, Rami M. Alzhrani, Marwa F. Ahmed, Atiah H. Almalki

“…The firefly algorithm (FA) was evaluated as a variable selection procedure to optimize the developed ANN models resulting in simpler models with improved predictive performance as evident by lower relative root mean square error of prediction (RRMSEP) values compared to the full spectrum ANN models. …”
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Computer vision to predict cell seeding coverage in re-endothelialized mouse lungs by Joshua Paciocco, Ahmed Hasan, Jason Chan, Daisuke Taniguchi, Cristina Amon, Golnaz Karoubi, Aimy Bazylak

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Fine-grained hardware resource optimization and design for FPGA-based real-time simulation of large-scale renewable energy generations by Yanfei Li, Zhiying Wang, Xiaopeng Fu, Peng Li, Ligang Zhao, Xiaoshan Wu

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A Machine Learning-Based Intelligent Framework for Predicting Energy Efficiency in Next-Generation Residential Buildings by Hafiz Muhammad Shakeel, Shamaila Iram, Richard Hill, Hafiz Muhammad Athar Farid, Akbar Sheikh-Akbari, Farrukh Saleem

“…Despite growing interest in this area, limited research has been conducted to systematically identify the primary factors that influence residential energy efficiency at scale, leaving a significant research gap. …”
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Effect of curing temperatures on the early-age tensile creep behavior of high-performance concrete by Yuanxi Wang, Suduo Xue, Xiongyan Li, Yan Geng, Hua Rong, Xiuliang Lu

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