Rancang Bangun dan Studi Eksperimental Pengaruh Perbedaan Jarak Pitch dan Kemiringan Poros terhadap Kinerja Mekanik Model Turbin Ulir 2 Blade Pada Aliran Head Rendah by Yul Hizhar, Bambang Yulistianto, Suryo Darmo

“…The result of research showed that generally screw turbine model pitch of 2Ro produced the higher mechanics performance (output power and efficiency) than pitch of 1.6Ro and 1.2Ro. …”
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Prevalence and Species Identifications of Camel Ixodid Ticks in Habru District, North Wollo Zone, Northeast Ethiopia by Tsedalu Yirsa, Yidersal Tizazu, Abebe Berihun, Asres Zegeye

“…Conclusions Generally, these ticks are well‐known for generating enormous economic losses by transmitting various infectious diseases and disrupting animal health and output. Thus, efficient tick control methods should be adopted in the area.…”
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Predicting Wear Rate and Friction Coefficient of Li₂Si₂O₅ Dental Ceramic Using Optimized Artificial Neural Networks by Marko Pantić, Saša Jovanović, Aleksandar Djordjevic, Suzana Petrović Savić, Milan Radenković, Živče Šarkoćević

“…Traditional experimental approaches, while accurate, are often resource intensive and time consuming, prompting a need for efficient computational methods. This study explores the application of artificial neural networks (ANNs) to predict the tribological behavior of dental ceramic lithium disilicate (IPS e.max Cad). …”
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Improving lifetime of WSN using modified Moth Flame Optimization by Methaq Mahdi Ali, Razieh Asgarnezhad

“…The provisioning of nodes, selection of cluster leaders, and optimal paths have all been recommended using many current methods. However, none of the currently used methods yield sufficient grid energy optimization results. …”
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Channel Estimation for Massive MIMO Systems via Polarized Self-Attention-Aided Channel Estimation Neural Network by Shuo Yang, Yong Li, Lizhe Liu, Jing Xia, Bin Wang, Xingjian Li

“…In this paper, we propose a DL-assisted channel estimation algorithm that transforms the original channel estimation problem into an image denoising problem, contrasting it with traditional experience-based channel estimation methods. We establish a new polarized self-attention-aided channel estimation neural network (PACE-Net) to achieve efficient channel estimation. …”
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A Comprehensive Review on Next-Generation Modeling and Optimization for Semiconductor Devices by Pratikhya Raut, Deepak Kumar Panda, Amit Kumar Goyal

“…The integration of physics-based modelling and artificial intelligence (AI) is transforming semiconductor device simulation, facilitating unparalleled precision, efficiency, and predictive power. Conventional semiconductor modelling is based on first-principles physics, including drift-diffusion equations, Boltzmann transport models, and quantum mechanical methods. …”
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A low-complexity AMP detection algorithm with deep neural network for massive mimo systems by Zufan Zhang, Yang Li, Xiaoqin Yan, Zonghua Ouyang

“…Signal detection plays an essential role in massive Multiple-Input Multiple-Output (MIMO) systems. However, existing detection methods have not yet made a good tradeoff between Bit Error Rate (BER) and computational complexity, resulting in slow convergence or high complexity. …”
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A modified particle swarm optimization-based adaptive maximum power point tracking approach for proton exchange membrane fuel cells by Bhukya Laxman, Ramesh Gugulothu, Surender Reddy Salkuti

“…In this paper, a Modified Particle Swarm Optimization (MPSO) method is proposed for maximum power point tracking (MPPT) to optimize the power output of Proton Exchange Membrane Fuel Cells (PEMFCs). …”
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Effect of 4 Weeks of High-Intensity Interval Training (HIIT) on VO₂max, Anaerobic Power, and Specific Performance in Cyclists with Cerebral Palsy by Cristian A. Lasso-Quilindo, Luz M. Chalapud-Narvaez, Diego C. Garcia-Chaves, Carlos Cristi-Montero, Rodrigo Yañez-Sepulveda

“…Background: High-intensity interval training (HIIT) is an effective and efficient method for training Paralympic athletes with cerebral palsy, particularly in intermittent sports and those requiring aerobic and anaerobic capacity, speed, and strength to delay fatigue onset and optimize athletic performance. …”
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Ultrasonic bidirectional regulation of chrysophanol and aurantio-obtusin self-assembly enhanced nanofiltration separated ethanol extract of cassia seed by Cunyu Li, Xin Shen, Ranyun Qiu, Dantong Xing, Xinglei Zhi

“…Anthraquinone components sublimate during heat treatment refining, causing equipment pipeline contamination and a drop in component output, which is a challenging technical problem for pharmaceutical manufacturers to resolve. …”
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Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions by Maraj Uddin Ahmed Siddiqui, Faizan Qamar, Faisal Ahmed, Quang Ngoc Nguyen, Rosilah Hassan

“…Furthermore, as an in-depth literature review, we discuss various types of interferences related to each method by studying the state-of-the-art relevant research in the literature. …”
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Synthesis and characterization of hematite nanomaterials imprinted with acetone, ethanol and methanol for AI-Based IoT gas sensor arrays by Rana M. Abdelghani, Abd El-Hady B. Kashyout, Iman Morsi, Taha Elsayed Taha, Naglaa F. Soliman, Walid El-Shafai

“…Electrical performance assessments, including response versus temperature, resistance versus gas concentration, and output voltage versus gas concentration, were conducted to evaluate sensor efficiency. …”
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A High-Speed, Multi-Channel Lossless Compression Algorithm for High-Resolution Video on FPGA by Xingkai Du, Longhua Xie, Hongchuan Huang, Huawei Chen, Xiaolong Guo, Tingyu Zhao

“…The USB 3.0 interface has become a common transmission method for industrial cameras due to its high versatility. …”
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Knowledge Graph–Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation by Yulong Xia, Jie Li, Bo Deng, Qilin Huang, Fenglin Cai, Yanfeng Xie, Xiaochuan Sun, Quanhong Shi, Wei Dan, Yan Zhan, Li Jiang

“…ResultsThe outputs based on HKG showed reliable performance as compared with neurosurgical doctors, with an overall accuracy of 94.87%. …”
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Wavelet Transform-Based 3D Landscape Design and Optimization for Digital Cities by Yang Chen, Xiaolin Wang, Chang Zhang

“…Combining this method to design and optimize 3D landscapes in digital cities can improve the efficiency of landscape design.…”
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Optimizing Superior Seed Bunches: A New Approach to Artificial Pollination with Machine Learning Models by Yabani Yabani, Retna Astuti Kuswardani

“…Overall, the model evaluation showed an increase in quantitative output while strengthening production quality and efficiency. …”
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Prediction model for oil seal performance parameters based on PSO-MLP-KAN by Weixing Yan, Mingshuo Shi, Pengbo Xiao, Kui Zhang, Xin Wu

“…Oil seals are critical sealing components in mechanical systems, and their sealing performance directly impacts the operational reliability of the entire system. To accurately, efficiently, and stably predict the sealing performance of oil seals, this study proposes a prediction method based on a combination of the Kolmogorov–Arnold network (KAN) and multi-layer perceptron (MLP) optimized by particle swarm optimization (PSO) algorithm. …”
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Cucurbit Crops Acquired Silencing: Virus-Induced Post-Transcriptional Silencing Is Transmitted Across the Graft Union by Mei Ai, Wen Han, Zheng Wang, Xinyang Xu, Yanjun He, Weisong Shou, Xuepeng Sun, Huasen Wang, Jia Shen

“…However, there are currently no high-throughput methods for validating the role of these long-distance RNAs in grafting, which limits the development of rootstock resources. …”
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Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning by Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun

“…The PID controller is subject to limitations, including single-input single-output limitations, low regulation efficiency, and poor adaptability when confronted with contemporary variable cycle engines that exhibit complex and multi-variable operating conditions. …”
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Max–Min semantic chunking of documents for RAG application by Csaba Kiss, Marcell Nagy, Péter Szilágyi

“…Current methods, often arbitrary or size-based segmentation, fail to preserve semantic coherence, leading to suboptimal retrieval and reduced output quality. …”
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