Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems by Kumar V Suresh, B Raveendra Nadh, S Sureshkumar, Suresh Kumar Anisetty, S R Arun Raj, G Sheeba

“…This paper provides a novel view on these tasks, allowing for broader accessibility and real-world applicability of state-of-the-art models. We advocate a multi-dimensional methodology, including ad hoc model contextualization, tailored neural designs, and personalized learning strategies, to achieve voice and chip-height optimization. …”
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A visual positioning method for tunnel boring machines in underground coal mines based on anchor net features by Xuhui ZHANG, Yunkai CHI, Yuyang DU, Junying JIANG, Wenjuan YANG, Youjun ZHAO, Jicheng WAN, Yanqun WANG, Chenhui TIAN

“…In combination with pose graph optimization, this model enabled precise TBM positioning. …”
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Research on the Stress Distribution Law of Fully Anchored Bolt and Analysis of Influencing Factors under the Condition of Surrounding Rock Deformation by Chengxing Zhao, Yingming Li, Gang Liu, Dengguo Chen, Xiangrui Meng

“…At the same time, the analysis of the stress distribution law of fully anchored bolt is the basic work to optimize anchor design. Therefore, this paper establishes a fully anchored bolt-surrounding rock interaction model based on the law of surrounding rock deformation and derives the analytical expressions for the axial force and shear stress of the fully anchored bolt during normal support and critical failure. …”
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RESEARCH ON ELASTIC-RING ISOLATOR’S DAMPING BASED ON PIEZOELECTRIC SHUNT DAMPING TECHNIQUE by YIN Shuang, WEN LiHua, LIU Yong

“…To analyze the present problems of the elastic-ring isolator,such as the unideal damping effect,the unadjustable damping and so on,the piezoelectric shunt damping technique was adopted to study the vibration control performance of the elastic ring.Using piezoelectric film as a substitute for the damping material of the elastic-ring isolator,the elastic-ring piezoelectric shunt damping isolator was designed.Moreover,shunt circuit was designed which was based on the gyrators and the piezoelectric shunt damping system electromechanical coupling model was established to study the method of optimizing parameters of the shunt circuit.Furthermore,the optimal parameters were determined.Finally,the vibration control performance of the piezoelectric shunt damping system was experimentally analyzed.Experimental results show that the vibration of the structure can be reduced by 9 d B.…”
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Deep learning for structure-preserving universal stable Koopman-inspired embeddings for nonlinear canonical Hamiltonian dynamics by Pawan Goyal, Süleyman Yıldız, Peter Benner

“…Discovering a suitable coordinate transformation for nonlinear systems enables the construction of simpler models, facilitating prediction, control, and optimization for complex nonlinear systems. …”
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Slip and tractive efficiency of an electric tractor with a 4WID E-axle system by SeungYun Baek, HyeonHo Jeon, CheolGyu Park, YongJoo Kim

“…The highest tractive efficiency was observed when slip was within the 10–20% range, indicating that this slip range corresponds to the optimal operating condition. The primary findings of this study identify the appropriate slip range and provide fundamental data for developing slip control algorithms for the 4WID E-axle system. …”
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Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review* by Korie, Josephmartin Izuchukwu*, Chudi-Ajabor, Ogochukwu Gabriela, Ezeonyema, Chukwudalu Chukwuekezie, Oshim, Francisca Ogechukwu

“…This attempt unveils that ML algorithms are extensively utilized in enhanced ore sorting and classification, predictive modeling, real-time process control and fault diagnosis, and automated mineral identification. …”
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Artificial intelligence in vaccine research and development: an umbrella review by Rabie Adel El Arab, May Alkhunaizi, May Alkhunaizi, Yousef N. Alhashem, Alissar Al Khatib, Munirah Bubsheet, Salwa Hassanein, Salwa Hassanein

“…AI‑driven multi‑omic integration accelerated epitope mapping, shrinking discovery timelines by months, while predictive analytics optimized manufacturing workflows and supply‑chain operations (including temperature‑controlled, “cold‑chain” logistics). …”
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Machine Learning-Based Classification of Sulfide Mineral Spectral Emission in High Temperature Processes by Carlos Toro, Walter Díaz, Gonzalo Reyes, Miguel Peña, Nicolás Caselli, Carla Taramasco, Pablo Ormeño-Arriagada, Eduardo Balladares

“…Accurate classification of sulfide minerals during combustion is essential for optimizing pyrometallurgical processes such as flash smelting, where efficient combustion impacts resource utilization, energy efficiency, and emission control. …”
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Assessment and Selection of Mathematical Trends to Increase the Effectiveness of Product Sales Strategy by Marcela Malindzakova, Gabriela Izarikova

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Research on Safe-Economic Dispatch Strategy for Renewable Energy Power Stations Based on Game-Fairness Empowerment by Zhen Zhang, Wenjun Xian, Weijun Tan, Jinghua Li, Xiaofeng Liu

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RETRACTED: Factors Affecting Electric Bike Adoption: Seeking an Energy-Efficient Solution for the Post-COVID Era by Ammar Yasir, Xiaojian Hu, Xiaojian Hu, Xiaojian Hu, Munir Ahmad, Rafael Alvarado, Muhammad Khalid Anser, Cem Işık, Ali Choo, Ali Ausaf, Irfan Ali Khan

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Balancing the need for seed against invasive species risks in prairie habitat restorations. by Jennifer L Larson, Diane L Larson, Robert C Venette

“…Weighting the model for federally mandated exotic species increased the median optimal maximum distance only slightly to 293 km (182 miles), so practitioners may not need to adjust their sourcing strategy, compared to the original model. …”
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Manipulating d-orbital of Cu single atom site by coordination engineering for selective oxidation of benzene by Shuchun Li, Changsheng Cao, Jiabin Chen, Wen Wen, Xuefei Zhang, Longji Cui, Yuke Li, Xing Huang, Yu Tang, Zailai Xie

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Review on atomistic and quantum mechanical simulation approaches in chemical mechanical planarization by Seokgyu Ryu, Murali Ramu, Patrick Joohyun Kim, Junghyun Choi, Kangchun Lee, Jihoon Seo

“…Enhanced computational methods targeting industrial-scale process optimization and real-time process control represent critical advancement opportunities for next-generation CMP technology development.…”
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A review of machine learning approaches for predicting lettuce yield in hydroponic systems by Sabrina Sharmin, Md. Tazel Hossan, Mohammad Shorif Uddin

“…A comparative analysis of existing ML models also highlights their strengths and limitations. …”
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Single-Stage Entity–Relation Joint Extraction of Pesticide Registration Information Based on HT-BES Multi-Dimensional Labeling Strategy by Chenyang Dong, Shiyu Xi, Yinchao Che, Shufeng Xiong, Xinming Ma, Lei Xi, Shuping Xiong

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Research on the Design and Simulation of Missile Intelligent Agent Autopilot Integrated With Deep Reinforcement Learning by Jianqi Wang, Shengtao Long, Su Wang, Kaiyu Zhan

“…Under the framework of deep reinforcement learning, by integrating the missile’s dynamic characteristics to optimize the reward function and network structure, an adaptive control model capable of adapting to complex flight conditions was constructed. …”
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Improved YOLOv8 Algorithm was Used to Segment Cucumber Seedlings Under Complex Artificial Light Conditions by Duokuo Zhang, Na Li, Mingfu Zhao, Kun Xu

“…Aiming at the challenging problem of cucumber seedling leaf segmentation under a complex artificial lighting environment, this study proposes an improved complex lighting YOLOv8 (CL-YOLOv8) model based on YOLOv8. First, the C2f module in the YOLOv8 backbone network is optimized by replacing the bottleneck with the multi-scale feature module (MSFM) we designed. …”
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Development and validation of a nomogram for predicting false negative IGRA results in pulmonary tuberculosis patients using propensity score matching. by Feng Zhang, Yong Gao, Tuantuan Li, Wei Zhang

“…<h4>Objective</h4>This study aims to explore factors influencing false-negative results in Interferon-Gamma Release Assay (IGRA) for patients with Pulmonary Tuberculosis (PTB), and develop a nomogram model to predict IGRA false negatives, thereby optimizing clinical diagnosis and treatment decisions.…”
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