YOLO-RDM: Innovative Detection Methods for Eggplants and Stems in Complex Natural Environment by Qin Liu, Zhibin Zhou, Lu Xiong, Meilian Lu, Jingwen Ouyang

“…Finally, the loss function is substituted with the MPDIoU loss, optimizing the bounding box regression algorithm and enhancing convergence speed and regression accuracy. …”
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Integrating FPGA-Based Acceleration in Industrial Motion Control System by Claudio Rubattu, Antonio Ledda, Francesco Ratto, Chaitanya Jugade, Dip Goswami, Francesca Palumbo

“…To achieve this, these devices are exploring the use of computer vision algorithms for automatic recognition of wafer positioning and die size. …”
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A retina-inspired pathway to real-time motion prediction inside image sensors for extreme-edge intelligence by Subhradip Chakraborty, Shay Snyder, Md Abdullah-Al Kaiser, Maryam Parsa, Gregory Schwartz, Akhilesh R Jaiswal

“…Validated on real-world object stimuli, the model delivers efficient, low-latency MP for decision-making scenarios reliant on predictive visual computation, while consuming only 18.56 pJ/MP in our mixed-signal hardware implementation.…”
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Integration of mitochondrial gene expression and immune landscape in acute kidney injury prediction by Xiaoping Xia, Renyang Liu, Xiaohui Jiang

“…Immune infiltration was assessed using the xCell algorithm to explore the relationship between MRS and immune cell dynamics in AKI. …”
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EDB-Net: Efficient Dual-Branch Convolutional Transformer Network for Hyperspectral Image Classification by Hufeng Guo, Wenyi Liu

“…Furthermore, the gated recurrent unit is incorporated into the algorithm to enhance the learning and analytical capabilities for spectral sequence data. …”
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Enhancing Physical Layer Security in WPCNs With IRS and Controlled Jamming for 6G IoT Applications by Iqra Hameed, Abid Afridi, Myung-Sun Baek, Hyoung-Kyu Song

“…To address the non-convex nature of the problem, we develop an alternating optimization algorithm that decouples the problem into subproblems, ensuring efficient convergence to a locally optimal solution. …”
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The Fusion of Focused Spectral and Image Texture Features: A New Exploration of the Nondestructive Detection of Degeneration Degree in <i>Pleurotus geesteranus</i> by Yifan Jiang, Jin Shang, Yueyue Cai, Shiyang Liu, Ziqin Liao, Jie Pang, Yong He, Xuan Wei

“…Spectral features were extracted by the successive projections algorithm (SPA), competitive adaptive reweighted sampling (CARS), and principal component analysis (PCA), while the texture features were derived using gray-level co-occurrence matrix (GLCM) and local binary pattern (LBP) models. …”
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SimulatorOrchestrator: A 6G-Ready Simulator for the Cell-Free/Osmotic Infrastructure by Rohin Gillgallon, Reham Almutairi, Giacomo Bergami, Graham Morgan

“…This contextualises our approach within the healthcare domain while showcasing the possibility of orchestrating different simulators at the same time. …”
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Artificial intelligence approach to magnetohydrodynamic flow of non-Newtonian fluids over a wedge: Thermophoresis and Brownian motion effects by Talal Taha, Sohaib Abdal, Liaqat Ali, Rana Muhammad Zulqarnain, Se-Jin Yook

“…Further optimization and simplification of the analysis are achieved by using an artificial neural networking base Levenberg Marquardt algorithm (ANN-LMA) model. The derived dataset was divided into three parts: training 70%, validation 15%, and testing 15%. …”
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Investigation of Spatio-Temporal Simulation of Mining Subsidence and Its Determinants Utilizing the RF-CA Model by Jikun Xu, Chaode Yan, Baowei Zhang, Xuanchi Chen, Xu Yan, Rongxing Wang, Binhang Yu, Muhammad Waseem Boota

“…This method can obtain a more realistic representation of the spatio-temporal distribution of subsidence while considering the driving factors, which provides technological support for land-use planning and ecological and environmental protection in coal resource cities.…”
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An integrated analytic hierarchy process and technique for order preference by similarity to ideal solution approach for solar site selection in Punjab (India): Evaluating potentia... by Tanu Sharma, Amit Sarin

“…AHP method was applied to find out the relative weights of the evaluation criteria. The TOPSIS algorithm was applied to rank the alternatives. The experimental results showed that Bathinda was the most appropriate place, followed by Patiala, Amritsar, Ludhiana, and Jalandhar. …”
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Prospects for the development of adaptive medical immunology by I. V. Nesterova, N. S. Tataurschikova

“…The normal NIEC allows the immune system show its adaptive capabilities, remain resistant to various negative influences, while maintaining the ability to repel attacks of various pathogens, neutralize allergic and autoimmune reactions. …”
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Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques by Mohamed Bechir Ben Hamida, Ali B. M. Ali, Narinderjit Singh Sawaran Singh, Loghman Mostafa

“…Response surface methodology (RSM) is used for predictive modeling, while enhanced hill climbing (EHC), non-dominated sorting genetic algorithm II (NSGA-II), and the multi-objective generalized normal distribution optimizer (MOGNDO) are applied for multi-objective optimization. …”
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Coordinated Interaction Strategy of User-Side EV Charging Piles for Distribution Network Power Stability by Juan Zhan, Mei Huang, Xiaojia Sun, Zuowei Chen, Zhihan Zhang, Yang Li, Yubo Zhang, Qian Ai

“…Finally, the IEEE69 node system is validated through joint simulation with actual urban areas, and the non-dominated sorting genetic algorithm II (NSGA-II) based on reference points is used for the solution. …”
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Resolving the confusions on the complete spatial randomness of species by Youhua Chen, Yongbin Wu, Tsung-Jen Shen

“…We present interpretations from both a simulation algorithm perspective and a statistical sampling perspective, supported by appropriate statistical reasoning. …”
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HOLESOM: Constraining the Properties of Slowly Accreting Massive Black Holes with Self-organizing Maps by Valentina La Torre, Fabio Pacucci

“…Accreting massive black holes (MBHs, with M _• > 10 ^3 M _⊙ ) are known for their panchromatic emission, spanning from radio to gamma rays. While MBHs accreting at significant fractions of their Eddington rate are readily detectable, those accreting at much lower rates in radiatively inefficient modes often go unnoticed, blending in with other astrophysical sources. …”
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High-Performance Thin PTFE-Ni Metamaterial Absorber for Ultra-Broadband Applications by Camilla C. Moro Carmo, Ursula C. Resende, Silvia C. Albuquerque, Mauricio D. Almeida

“…Given the elevated absorption rates achieved, the analysis range was extended to <inline-formula> <tex-math notation="LaTeX">$300-3000$ </tex-math></inline-formula> nm, and a genetic algorithm was employed to refine the geometric parameters. …”
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TFF-Net: A Feature Fusion Graph Neural Network-Based Vehicle Type Recognition Approach for Low-Light Conditions by Huizhi Xu, Wenting Tan, Yamei Li, Yue Tian

“…To further improve its robustness, we propose an Adaptive Weighted Fusion-Bagging (AWF-Bagging) algorithm, which dynamically assigns weights to base classifiers based on their F1 scores. …”
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Distributionally robust optimization-based scheduling for a hydrogen-coupled integrated energy system considering carbon trading and demand response by Zhichun Yang, Lin Cheng, Huaidong Min, Yang Lei, Yanfeng Yang

“…The column-and-constraint generation (C&CG) algorithm efficiently solves the two-stage DRO model. …”
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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…This study proposes a systematic framework, termed VMD-RUN-Seq2Seq-Attention, for noise reduction, outlier detection, and wind speed prediction by integrating Variational Mode Decomposition (VMD), the Runge–Kutta optimization algorithm (RUN), and a Sequence-to-Sequence model with an Attention mechanism (Seq2Seq-Attention). …”
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