Blind Bilinear Approach for Nonlinear-Based System Identification by Abdulmajid Lawal, Karim Abed-Meraim, Azzedine Zerguine, Ali Muqaibel

“…In this paper, we develop an efficient nonlinear channel identification method for single input multiple output finite impulse response (FIR) channels. …”
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Three-dimensional conductive conjugated polyelectrolyte gels facilitate interfacial electron transfer for improved biophotovoltaic performance by Zhongxin Chen, Samantha R. McCuskey, Weidong Zhang, Benjamin Rui Peng Yip, Glenn Quek, Yan Jiang, David Ohayon, Shujian Ong, Binu Kundukad, Xianwen Mao, Guillermo C. Bazan

“…Furthermore, microscopic photocurrent mapping of the biocomposites down to the single-cell level reveals a ~ 0.2 nanoampere output per cell, which translates to a 10-fold improvement relative to that of bare S. elongatus, corroborating efficient electron transport from S. elongatus to the electrode. …”
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Design and Modeling of a Photonic Crystal Multiplexer Using Artificial Intelligence by P. Karami, S. I. Yahya, B. Palash, M. A. Chaudhary, M. Assaad, F. Parandin, S. Roshani, F. Hazzazi, S. Roshani

“…In this study, an ANN model is employed to accurately predict the normalized output power of the designed photonic crystal multiplexer, providing a time-efficient alternative to conventional simulation methods for analyzing multiplexer behavior across various logical states. …”
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Multi-Strategy Fusion Path Planning Algorithm for Autonomous Surface Vessels with Dynamic Obstacles by Yongshun Xie, Chengyong Liu, Yixiong He, Yong Ma, Kang Liu

“…Through a comprehensive analysis of its control output, the proposed integrated algorithm accomplishes efficient obstacle avoidance via agile control of angular velocity while preserving navigational stability and achieves path optimization through consistent acceleration adjustments, thereby asserting its superiority and practical worth in challenging maritime environments.…”
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Robust Optimal Configuration Planning of Integrated Energy System for Return on Investment by Tao LIANG, Xiaodong YIN, Yaxiang LIU

“…Reasonable optimization of integrated energy system (IES) capacity configuration is the basis for improving returns on investment and realizing efficient energy utilization. Aiming at the uncertainty influences of wind and photovoltaic power output and energy-using load on both cost and revenue, a robust optimal configuration method for return on investment is presented. …”
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OT-PCA: New Key-Recovery Plaintext-Checking Oracle Based Side-Channel Attacks on HQC with Offline Templates by Haiyue Dong, Qian Guo

“…Our method addresses critical challenges in optimizing key-related information extraction, including maximizing decryption output entropy and ensuring error pattern independence, through the use of genetic-style algorithms. …”
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REDUCTION OF THE CONTROL VOLTAGE IN THE AMPLITUDE ELECTROOPTIC MODULATOR AT MULTIPLE-INTERFERENCE IN A RING RESONATOR by A. I. Kanojka

“…In this paper, it’s described a method that allows to implement highly efficient amplitude modulation of radiation at the output of a ring resonator by controlling its artificial light losses, which are derived from it using two Y-shaped couplers. …”
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Fish keypoint detection for offshore aquaculture: a robust deep learning approach with PCA-based shape constraint by Gen Li, Gen Li, Anji Lian, Zidan Yao, Yu Hu, Yu Hu, Guoliang Pang, Guoliang Pang, Taiping Yuan, Taiping Yuan, Zhenhua Li, Xiaohua Huang, Xiaohua Huang, Gang Wang

“…IntroductionFish keypoint detection is a prerequisite for accurate fish behavior analysis and biomass weight estimation, and is therefore crucial for efficient and intelligent offshore aquaculture. Traditional keypoint detection networks typically employ coordinate regression methods, which do not impose any constraints on the output of the regression head or the training process of the neural network. …”
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Short-Term Scheduling of Pump Station-integrated Cascade Hybrid Pumped Storage Systems by QIAN Jun, TAN Qiaofeng, WEN Xin, ZHENG Mingfen, SHEN Yanqing

“…A short-term scheduling study of the multi-stage hybrid pumped storage power station, based on the addition of pumping stations, is conducted. This method aims to achieve efficient operation of the energy storage pumping stations and provide a reference for the integration of new energy consumption and the construction of pumped storage.MethodsFirstly, a dynamic control strategy for the reservoir capacity of multi-stage hybrid pumped storage power stations was proposed. …”
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Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. by Michael E Kim, Chenyu Gao, Nancy R Newlin, Gaurav Rudravaram, Aravind R Krishnan, Karthik Ramadass, Praitayini Kanakaraj, Kurt G Schilling, Blake E Dewey, David A Bennett, Sid O'Bryant, Robert C Barber, Derek Archer, Timothy J Hohman, Shunxing Bao, Zhiyuan Li, Bennett A Landman, Nazirah Mohd Khairi, Alzheimer’s Disease Neuroimaging Initiative, HABS-HD Study Team

“…The experiments show mostly high agreement among raters and slight differences with the automated QC method. While researchers must spend time on robust visual QC of data, there are mechanisms by which the process can be streamlined and efficient.…”
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Design Interleaved Full Bridge Circuit DC-DC Converter With Fuel Cell Power Source On Hybrid Trains by Taufik Iqbal Miftaks, Muhammad Azis Muslim, Mochammad Rusli

“…To overcome this problem, a method is needed to identify the IFBC output voltage control process using the SMC method in Fuel Cell applications and the software which is considered the most efficient in carrying out this, namely SIMULINK MATLAB software.…”
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Design and Simulation of Ornithopter based on Four-bar Mechanism by Zhao Zhifang, Qi Mingsi, Feng Jingkai, Zhang Wei, Wang Junyuan, Zhang Jiping

“…In addition,the optimized simulation curve can well approach the given task trajectory. The design method proposed in this paper has the characteristics of fast and efficient,and the result is intuitively visible,which provides a feasible scheme for parameter setting and optimization of other mechanical structure.…”
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Reservoir controllers design though robot-reservoir timescale alignment by Fan Ye, Arsen Abdulali, Kai-Fung Chu, Xiaoping Zhang, Fumiya Iida

“…Unlike other model-free approaches, the reservoir controllers are sample-efficient, meaning a weighted average of the reservoir output can be trained with a limited amount of pre-recorded data. …”
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Application of Medical Images for Melanoma Detection Using a Multi‐Architecture Convolutional Neural Network From a Deep Learning Approach by Justice Williams Asare, Emmanuel Akwah Kyei, Seth Alornyo, Emmanuel Freeman, Martin Mabeifam Ujakpa, William Leslie Brown‐Acquaye, Alfred Coleman, Forgor Lempogo

“…With the cascading multi‐architecture technique, we combined all the layers (multiple layers) output of the models and processed them (the output of the multiple layers) in a structured pipeline, which improves upon the previous output. …”
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Thermodynamic and economic analysis, optimization of SOFC/GT/SCO2/ORC hybrid power systems for methanol reforming-powered ships with carbon capture by Shouguang Yao, Xuan Yan, Minjie Xia, Chuang Wang, Shaofan Wang

“…A hybrid power system containing carbon capture based on methanol external reforming of solid oxide fuel cell coupled with gas turbine is proposed, further to achieve efficient energy use and reduce carbon emissions, the power system combines a supercritical CO2 cycle with an organic Rankine cycle in order to optimize the utilization of waste heat, and chemical absorption method for carbon capture. …”
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A Novel Dynamic Lane-Changing Trajectory Planning Model for Automated Vehicles Based on Reinforcement Learning by Cenxin Yu, Anning Ni, Jing Luo, Jinghui Wang, Chunqin Zhang, Qinqin Chen, Yifeng Tu

“…Most conventional lane-changing models need to establish and solve constrained optimization models during the whole process, while reinforcement learning can just take the current state as input and directly output actions to vehicles. This study develops a lane-changing model using the deep deterministic policy gradient method, which can simultaneously control the lateral and longitudinal motions of the vehicle. …”
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Enhancing the thermal conductivity and stability of cuprous oxide nanofluids: Ribose-mediated single step chemical synthesis for solar energy applications by D. Krishna Bhat, S. Pavan Kumar, U. Sandhya Shenoy

“…The efficiency of photovoltaic (PV) panels can be compromised by rising temperatures, prompting extensive research into thermal management strategies aimed at maximizing power output. …”
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Ship path planning and tracking based on rapidly exploring random tree star and convex optimization by Chang ZHOU, Te YU, Jiapeng LIU, Dihua LU, Qingshan ZENG

“…Finally, model predictive control (MPC) algorithm is employed to generate ship control output sequences, enabling safe and efficient navigation around obstacles from the starting point to the destination. …”
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DeepAT: A Deep Learning Wheat Phenotype Prediction Model Based on Genotype Data by Jiale Li, Zikang He, Guomin Zhou, Shen Yan, Jianhua Zhang

“…This study innovatively proposes a new method called DeepAT, which mainly includes an input layer, a data feature extraction layer, a feature relationship capture layer, and an output layer. …”
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Application of embeddings for multi-class classification with optional extendability by Ф. Смілянець

“… This study investigates the feasibility of an expandable image classification method utilizing a convolutional neural network to generate embeddings for use with simpler machine learning algorithms. …”
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