Intelligent Wireless Charging Path Optimization for Critical Nodes in Internet of Things-Integrated Renewable Sensor Networks by Nelofar Aslam, Hongyu Wang, Muhammad Farhan Aslam, Muhammad Aamir, Muhammad Usman Hadi

“…Wireless power transfer technology offers a promising solution by enabling the recharging of energy-depleted nodes through a wireless portable charging device (WPCD). While this approach can extend node lifespan, it also introduces the challenge of bottleneck nodes—nodes whose remaining energy falls below a critical value of the threshold. …”
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Fixed-Time Distributed Event-Triggered Cooperative Guidance Methods for Multiple Vehicles with Limited Communications to Achieve Simultaneous Arrival by Zhenzhen Gu, Xugang Wang, Zhongyuan Wang

“…Finally, the numerical simulation results demonstrate the validity of the algorithm and the correctness of the stability analysis.…”
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An Artificial Intelligence-Based Approach With Photoplethysmogram and Heart Rate Variability for Sleep Bruxism Diagnosis by Omer Eris, Mehmet Recep Bozkurt, Seval Bulut Eris, Cahit Bilgin

“…Using four artificial intelligence (AI) algorithms, we built classification models that distinguished bruxism labels from control labels. …”
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Strong parameter hierarchy in the interstellar phosphorus chemical network by Marina Fernández-Ruz, Marina Fernández-Ruz, Izaskun Jiménez-Serra, Mario Castro, Mario Castro, Marta Ruiz-Bermejo, Jacobo Aguirre, Jacobo Aguirre

“…Multi-parameter models often suffer from “sloppiness”, where many parameter combinations exhibit negligible influence on model outcomes, while a few dominate system behavior. In this study, we introduce the Fisher Information Spectral Reduction (FISR) algorithm, a novel and computationally efficient method to reduce the complexity of such sloppy models. …”
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Optimized frequency stabilization in hybrid renewable power grids with integrated energy storage systems using a modified fuzzy-TID controller by Mohamed Khamies, Ahmed H. A. Elkasem, Salah Kamel, Mohamed Hashem

“…Two models of the HRPGs are considered: the first model is a two-area power grid that combines three conventional power plants and two RESs in each area, while the second model is the IEEE 39-bus system. …”
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Adaptive Virtual Inertia and Voltage Estimation: Enabled Model Predictive Control for Improved Performance in Islanded DC Microgrids by Salisu Abdullahi, Khaled Eltag, Lei Weining, Chen Xiaohu

“…The virtual DC grid voltage is estimated using covariance adaptation in a standard Kalman filter algorithm. State estimation via feedback control stabilizes the voltage. …”
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Infrared image super resolution with structure prior from uncooled infrared readout circuit by Kai Che, Jian Lv, Jia Wei, Jiayuan Gong, Longcheng Que, Yun Zhou

“…Extensive experiments demonstrate that EIRSR delivers competitive performance while maintaining a compact structure compared to superior methods.…”
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Line-Structured Light-Based Three-Dimensional Reconstruction Measurement System with an Improved Scanning-Direction Calibration Method by Jia Chen, Shantao Ping, Xiaowei Liang, Xulong Ma, Shiyan Pang, Ying He

“…In this study, we propose an improved method to calibrate the sensor’s scanning direction that iteratively optimizes control points via plane transformation while leveraging the rotational invariance of the rotation matrix during translation. …”
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Technology of automated video observation of a drogue-sensor basket in the problem of autonomous aerial refueling by A. V. Gaidenkov, M. I. Kanevskiy, A. S. Ostrovskiy, O. I. Ganyak, N. Yu. Chizhov

“…Based on the developed technology and the results of evaluating the effectiveness of automated observation algorithms, a strategy for performing autonomous refueling in conditions of various turbulence is proposed, while, during weak turbulence, a successful engagement is provided by tracking the center of drogue oscillations, in turn, under conditions of severe turbulence, a successful engagement can be provided by tracking a drogue controlled according to the synthetic vision system data.…”
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A hybrid data-driven method for voltage state prediction and fault warning of Li-ion batteries by Yufeng Huang, Xuejian Gong, Zhiyu Lin, Lei Xu

“…Secondly, a Bi-LSTM module is used to learn long-term dependence relationships among fused features while integrating a self-attention mechanism. To further verify the algorithm's effectiveness, a new 18650 battery dataset has been set up under various conditions between day and night. …”
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Robust outdoor trajectory mapping using CNN features and loop closure optimization by Kamran Kazi, Arbab Nighat Kalhoro, Farida Memon, Tarique Rafique Memon, Azam Rafique Memon

“…To counteract accumulated drift, a hybrid optimization strategy is proposed: Bag of Words (BoW)-based loop closure detection identifies revisit locations, while an algorithm is developed to optimize the map. …”
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Application of artificial neural networks for predicting soil settlement in geotechnical applications with plastic waste reinforcement above buried pipes by Sinan A. Al-Haddad, Hala Adnan Abbas, Luttfi A. Al-Haddad, Mustafa I. Al-Karkhi

“…The ANN model, configured with two hidden layers of 10 and 6 neurons respectively, had used the hyperbolic tangent (tanh) activation function and trained with the Levenberg–Marquardt algorithm. The R2 values reached 0.9990 for training and 0.9965 for testing, while the Root Mean Square Error (RMSE) was maintained at 0.021% for training and 0.034% for testing which indicates minimal deviation between predicted-observed settlements. …”
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Improving Fall Classification Accuracy of Multi-Input Models Using Three-Axis Accelerometer and Heart Rate Variability Data by Seunghui Kim, Jae Eun Ko, Seungbin Baek, Daechang Kim, Sungmin Kim

“…To solve this problem, a fall prevention algorithm using an acceleration sensor has been developed, and research is being conducted to enable continuous monitoring using a Holter electrocardiograph. …”
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Efficient and assured reinforcement learning-based building HVAC control with heterogeneous expert-guided training by Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Chao Huang, Zheng O’Neill, Zhaoran Wang, Qi Zhu

“…Compared with traditional model-based HVAC control methods, the recent model-free deep reinforcement learning (DRL) based methods have shown good performance while do not require the development of detailed and costly physical models. …”
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Plug-and-Play Robust Aerial Object Detection Under Hazy Conditions by Wei Wu, Hao Chang, Zhiwen Chen, Zhu Li

“…Recently, to improve detection accuracy in inclement weather, some excellent specifically designed algorithms for foggy conditions have been presented to identify objects from hazy images. …”
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Cross-regional sample generation based on Cropland Data Layer for large-scale winter wheat mapping: A case study of Huang-Huai-Hai Plain, China by Man Liu, Wei He, Hongyan Zhang

“…The first step involves applying the Random Forest algorithm to transfer the mapping rules from the source area to the target area while determining the probability similarity of each pixel in the target area to winter wheat in the source area. …”
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Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection by Debasish Ghose, Ayan Chatterjee, Indika A. M. Balapuwaduge, Yuan Lin, Soumya P. Dash

“…Our results demonstrate that lightweight models such as k-NN and Decision Tree can achieve competitive accuracy while ensuring lower computational demands, making them ideal for real-time applications. …”
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Mixed-method estimation of population-level HIV viral suppression rate in the Western Cape, South Africa by Landon Myer, Maia Lesosky, Elton Mukonda, Nei-Yuan Hsiao, Lara Vojnov

“…We describe how routinely collected viral load (VL) data from antiretroviral therapy (ART) programmes can be extrapolated to estimate population VS and validate this using a combination of empiric and model-based estimates.Methods VL test results from were matched using a record linkage algorithm to obtain linked results for individuals. …”
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Pressure effect on electronic and optical properties of noncentrosymmetric LaPtGe3 studied by ab initio method by Md. Karimul Islam, Nilufer Yesmin Tanisa, Mosfiqur Rahman, Abul Monsur Musa, Tareque Aziz, Md. Moiful Alam, Asif Pervez

“…Density functional theory applied with the CASTEP algorithm was used to evaluate the electrical and optical characteristics of LaPtGe3. …”
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Shoulder–Elbow Joint Angle Prediction Using COANN with Multi-Source Information Integration by Siyu Zong, Wei Li, Dawen Sun, Zhuoda Jia, Zhengwei Yue

“…To address the precision challenges in upper-limb joint motion prediction, this study proposes a novel artificial neural network (COANN) enhanced by the Cheetah Optimization Algorithm (COA). The model integrates surface electromyography (sEMG) signals with joint angle data through multi-source information fusion, effectively resolving the local optima issue in neural network training and improving the accuracy limitations of single sEMG predictions. …”
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