A Gradient-Based Recurrent Neural Network for Visual Servoing of Robot Manipulators with Acceleration Command by Zhiguan Huang, Zhengtai Xie, Long Jin, Yuhe Li

“…Recent decades have witnessed the rapid evolution of robotic applications and their expansion into a variety of spheres with remarkable achievements. …”
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Detection of Internal Defects in Concrete Using Delay Multiply and Sum-Enhanced Synthetic Aperture Focusing Technique by Feng Li, Sheng-Kui Di, Jing Zhang, Dong Yang, Yao Pei, Xiao-Ying Wang

“…Compared with the conventional SAFT, the proposed method improves image contrast by approximately 40%, with clearer defect boundaries and a vertical positioning error of less than ±5 mm. This demonstrates the method’s promising potential for practical applications in internal defect visualization of concrete structures.…”
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Research on Kinematic Calibration and Trajectory Tracking of the Dual-Robot Collaborative Grinding and Polishing System by Wenduan Yan, Luwei Xu, Yifang Sun, Hongjie Xu, Zhifei Ji

“…An experimental platform integrating dual EPSON C4-series robots with grinding devices, clamping fixtures, and drive systems was established. The average error below 8 mm from 10 repeated experiments fully validates the accuracy and practical applicability of the integrated calibration method.…”
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Current state of the treatment landscape of phenylketonuria by Ine Nulmans, Sien Lequeue, Liesbeth Desmet, Jessie Neuckermans, Joery De Kock

“…Abstract Background Phenylketonuria (PKU) is an inborn error of amino acid metabolism caused by a deficiency of the L-phenylalanine-4-hydroxylase enzyme or its cofactor tetrahydrobiopterin (BH4) resulting in increased levels of phenylalanine (Phe) in blood and cerebrospinal fluid. …”
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Web Real-Time Communications-Based Unmanned-Aerial-Vehicle-Borne Internet of Things and Stringent Time Sensitivity: A Case Study by Agnieszka Chodorek, Robert Ryszard Chodorek

“…The currently observed development of time-sensitive applications also affects wireless communication with the IoT carried by UAVs. …”
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Artificial Neural Network Approach to Study Imprecisely Defined Nonlinear Systems With Case Studies by Lakshmi Durga Pathipati, Sukanta Nayak

“…A feed-forward neural network (FFNN) is used to generate outputs based on initial guesses for the field variables, and the ANN-LM algorithm optimizes the solution by minimizing the error between predicted and target values. The effectiveness of the approach is validated through convergence analysis and case studies, including applications in electrical circuits and static structural problem. …”
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Single-Fiber Bi-Directional Burst-Mode EDFA for TWDM-PON by Zehao Xiao, Lilin Yi, Lei Xue, Weisheng Hu

“…For potential reflections caused by the absence of optical isolators, experimental results have demonstrated the degradation of receiver sensitivity at bit-error rate of <inline-formula><tex-math notation="LaTeX"> $1 \times 10^{-3}$</tex-math></inline-formula> is negligible with a reflection power up to &#x2212;14&#x00A0;dBm, which proves the promising applications in PONs of the proposed single-fiber bi-directional burst-mode EDFA.…”
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AN ADAPTED ANALYTICAL SOLUTION TO THE MULHOLLAND EQUATION: MODIFIED DIRECT ITERATION PROCEDURE by Sabrina Sultana, B M Ikramul Haque, M. M. Ayub Hossain

“…Mulholland equations have many real applications in various fields, such as modern control theory, phase plane analysis, stability analysis, bifurcation analysis, etc. …”
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Two-hop distance estimation in wireless sensor networks by Sunyong Kim, Sun Young Park, Daehoon Kwon, Jaehyun Ham, Young-Bae Ko, Hyuk Lim

“…Numerical simulation results show that in comparison with other existing distance estimation methods, the proposed method significantly reduces the distance estimation error over a wide range of node densities.…”
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Autoencoder-Based Hyperspectral Unmixing with Simultaneous Number-of-Endmembers Estimation by Atheer Abdullah Alshahrani, Ouiem Bchir, Mohamed Maher Ben Ismail

“…It promotes advancements in various scientific, environmental, and industrial applications by extracting meaningful information from hyperspectral data. …”
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A framework based on mechanistic modelling and machine learning for soil moisture estimation by Sabri Kanzari, Sana Ben Mariem, Samir Ghannem, Safouane Mouelhi, Hiba Ghazouani, Bechir Ben Nouna

“…Abstract Soil moisture has many important applications in subsurface water movement. Methods for measuring soil moisture are either destructive or require prior calibration. …”
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π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing by Xiang Zhang, Tianze Ling, Zhi Jin, Sheng Xu, Zhiqiang Gao, Boyan Sun, Zijie Qiu, Jiaqi Wei, Nanqing Dong, Guangshuai Wang, Guibin Wang, Leyuan Li, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Fuchu He, Wanli Ouyang, Cheng Chang, Siqi Sun

“…Current deep learning models often rely on autoregressive generation, which suffers from error accumulation and slow inference speeds. In this work, we introduce π-PrimeNovo, a non-autoregressive Transformer-based model for peptide sequencing. …”
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A Case Study Comparing Methods for Coal Thickness Identification in Complex Geological Conditions by Tao Ding, Yanhui Wu, Lei Wang, Zhen Nie, Lei Zhang

“…The BP neural network demonstrated strong applicability in complex geological environments. Empirical analysis further validated the BP neural network’s geological reliability and practicality in systematic coal thickness determination.…”
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Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties by Tianyi Wu, Sina Kheiri, Riley J. Hickman, Huachen Tao, Tony C. Wu, Zhi-Bo Yang, Xin Ge, Wei Zhang, Milad Abolhasani, Kun Liu, Alan Aspuru-Guzik, Eugenia Kumacheva

“…Abstract Many applications of plasmonic nanoparticles require precise control of their optical properties that are governed by nanoparticle dimensions, shape, morphology and composition. …”
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An Optimized Pulse-Counting Method for Compensation Vector Calculation in the Automatic Balancer by Lifang Chen, Bo Zhou, Zhaoju Li, Yixiang Guo, Ziwen Yan

“…The proposed control system can work without computers or high-speed data acquisition equipment, which improves the stability and flexibility of the control system, facilitates the design of the automatic balancing system, and shows excellent potential for industrial applications.…”
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Distributed Adaptive Coding Optimization for IoT Using Fulcrum Code and Model-Agnostic Meta-Learning (MAML) in Ultra-Low Latency Environments by Yair Rivera Julio, Angel Pinto, Rodrigo Garcia, Jose Aguilar, Nelson A. Perez-Garcia

“…FEC and HARQ further balance error correction and retransmission overhead. Simulations show significant reductions in transmission time and energy consumption, particularly in high-packet-loss scenarios. …”
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Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study by David Beyer, Evan Delancey, Logan McLeod

“…Our aim was to explore if such AutoML algorithms could generate robust machine learning models that are directly applicable to the field of digital pathology. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…This study examines how printing parameters affect the roughness, tensile strength, and elongation of 3D-printed parts used in various applications. Machine learning-based regression models were employed to optimize product quality. …”
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Finger tracking for wearable VR glove using flexible rack mechanism by Roshan Thilakarathna, Maroay Phlernjai

“…Background: With the increasing prominence of hand and finger motion tracking in virtual reality (VR) applications and rehabilitation studies, data gloves have emerged as a prevalent solution. …”
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A Novel Lo-Ra-Based Wireless Communication Module for Industrial Data Acquisition-Telemetry by Ranu Wijaya, Ahmad Radhy, Safira F. Mujiyanti

“…The implementation of the UHF communication module considers critical aspects such as reliability, data throughput, and latency for industrial applications. Testing and evaluation were conducted to assess the module&#x2019;s performance, including measurement variations and distance testing between the systems. …”
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