MDCFVit-YOLO: A model for nighttime infrared small target vehicle and pedestrian detection. by Huiying Zhang, Qinghua Zhang, Yifei Gong, Feifan Yao, Pan Xiao

“…An MDCFVit-YOLO model based on the YOLOv8 algorithm is proposed to address issues in nighttime infrared object detection such as low visibility, high interference, and low precision in detecting small objects. …”
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Early Warning of Low-Frequency Oscillations in Power System Using Rough Set and Cloud Model by Miao Yu, Jinyang Han, Shuoshuo Tian, Jianqun Sun, Honghao Wu, Jiaxin Yan

“…Traditional low-frequency oscillation early warning methods are still deficient in handling incomplete and highly discrete information. Compared with the existing methods, we have pioneered a synergistic mechanism of discrete attribute screening and continuous probabilistic feature fusion by combining the dynamic attribute approximation algorithm of rough sets with the cloud model, which effectively solves the loss of information caused by the discretization of continuous data in the traditional methods. …”
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Dynamic identification method for flow patterns of liquid-solid two-phase flow in horizontal pipelines by ZHUJUNLIANG Junliang, ZHAOZHIFENG, WANGSHUGANG, JIANG Shuang

“…The article is based on the Dynamic Mode Decomposition (DMD) algorithm, combined with a series of preprocessing measures, to reconstruct the flow pattern of liquid-solid two-phase flow. …”
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Using Machine Learning to Understand Injuries in Female Agricultural Operators in the Central United States by Cheryl L. Beseler, Risto H. Rautiainen

“…Agriculture is dangerous work, and women are at risk of serious injury, but the research on injuries in females is sparse. Women perform different types of farmwork and have different exposures than men. …”
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Network Dismantling on Signed Network by Evolutionary Deep Reinforcement Learning by Yuxuan Ou, Fujing Xiong, Hairong Zhang, Huijia Li

“…Network dismantling is an important question that has attracted much attention from many different research areas, including the disruption of criminal organizations, the maintenance of stability in sensor networks, and so on. …”
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Design of a low-cost optical motion capture system using a multi-camera configuration and an asynchronous extended Kalman filter by Meyer Zakariya, Pretorius Arnold

“…Results highlight the challenges of balancing cost with performance; the system can achieve a position and orientation accuracy of less than 1 cm and 2°, respectively, within a 2x2x2m workspace, at a significantly lower cost compared to off-the-shelf commercial systems. The implications of this research are broad, offering a foundation for future explorations into cost- effective motion capture solutions. …”
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Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module by Mingzhe Li, Zhaoming He, Hao Wang

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Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach by He Jiang, Luo Shihua, Yao Dong

“…Finally, all the forecasting values of IMFs will be summed by assigning weights that are carefully determined by the whale optimization algorithm (WOA). The proposed forecasting approach has been applied on six datasets that were collected in Qinghai province and is compared with several state-of-the-art wind speed forecasting models. …”
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Optimal sizing, techno-economic, and environmental assessment of hybrid renewable energy systems by Mohammad Reza Gharib, Amir Mohammadbeigi

“…Simulation results were derived via the Simulated Annealing meta-heuristic strategy, which demonstrated a lower standard deviation compared to the Imperialist Competitive Algorithm and Artificial Bee Colony methods. …”
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2D analytical model for evaluation of the forces in the three point hitch mechanism by Vojislav Simonović, Vera Cerović, Dragan Milković, Dragan Petrović, Grbović Aleksandar

“…AbstractLarge investments, research efforts and time have been allocated till nowadays for innovation of agricultural tractors and machinery, with the primary aim to increase their productivity, reliability, durability, as well as the environmentally friendly, safe and easy usage. …”
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An Enhanced Adaptive Kalman Filter for Multibody Model Observation by Antonio J. Rodríguez, Emilio Sanjurjo, Miguel Ángel Naya

“…This work presents a new method which includes a shaping filter to whiten the plant noise combined with an adaptive algorithm to adjust the plant noise parameters. This new method is tested and compared with methods already described in the literature using the <i>three-simulation method</i>. …”
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Optimization of False Alarm Rate and Misdetection Rate for a Desired Threshold Voltage in Cooperative Communication by SATISH KUMAR GANNAMANENI, JIBENDU SEKHAR ROY

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A landslide area segmentation method based on an improved UNet by Guangchen Li, Kefeng Li, Guangyuan Zhang, Ke Pan, Yuxuan Ding, Zhenfei Wang, Chen Fu, Zhenfang Zhu

“…This study not only provides an effective method for landslide segmentation tasks but also offers new perspectives for further research in related fields.…”
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Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model by Qinwei Zhang, Zhifeng Liu, Xinxin Zhang, Chunyang Mu, Shuo Lv

“…Product Kansei image design is one of the research hotspot of product emotional design. Due to the subjectivity, low efficiency, and low level of intelligence in the existing product form innovation design methods in the mining of design goals. …”
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Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

“…The prediction of entrance and exit passenger flow of rail transit stations is one of key research focuses in the area of intelligent transportation. …”
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Instability of Financial Time Series Revealed by Irreversibility Analysis by Youping Fan, Yutong Yang, Zhen Wang, Meng Gao

“…Since the 2008 global economic crisis, the detection of financial instabilities has garnered extensive research attention, particularly through the application of time-series analysis. …”
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Synergistic Effects of Energy Storage Systems and Demand-Side Management in Optimizing Zero-Carbon Smart Grid Systems by Zeyad A. Almutairi, Ali M. Eltamaly

“…An advanced optimization algorithm enhances grid stability and efficiency. Simulations demonstrate significant reductions in carbon footprint, peak power demand, and reliance on fossil fuels. …”
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Energy efficient control of indoor environments under time-varying multi-parameter uncertainty by Jianhao ZHAO, Hua SONG, Xinyuan NAN, Xin CAI

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Analysis of Community Sentiment Towards Free Nutrition Meal Programs on Twitter Using Naïve Bayes, Support Vector Machine, K-Nearest Neighbors, and Ensemble Methods by Gresensia Rosadelima Ati, Putri Taqwa Prasetyaningrum

“…In this study, four classification algorithms were used: Naïve Bayes, Support Vector Machine (SVM), K-Nearest Neighbors (K-NN), and ensemble, to compare their performance in sentiment analysis. …”
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Enhancing the e-commerce shopping experience with IoT-enabled smart carts in smart stores by Jian Wang

“…The findings demonstrate that the proposed IoT-enabled model efficiently balances classification tasks, reduces congestion during algorithm execution, and minimizes energy waste. This research highlights the significance of integrating IoT with cloud and fog computing frameworks to enhance the efficiency and customer experience in retail environments.…”
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