Computer‐Aided Design of Integrated Digital Strain Sensors for Hardware‐Based Recognition and Quantification of Human Movements by Hudson Gasvoda, Mengchu Li, Andrea Pader, Rana Altay, Nick Cmager, Tripti Pandey, Tsun‐Ming Tseng, Ismail Emre Araci

“…To facilitate integration, a linear optimization‐based computer‐aided design tool for the integrated DigSS (iDigSS) is created. …”
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A Comprehensive Review of Deep Learning in Computer Vision for Monitoring Apple Tree Growth and Fruit Production by Meng Lv, Yi-Xiao Xu, Yu-Hang Miao, Wen-Hao Su

“…This study reviewed deep learning combined with computer vision for monitoring apple tree growth and fruit production processes in the past seven years. …”
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Impact of Virtual Reality on Brain–Computer Interface Performance in IoT Control—Review of Current State of Knowledge by Adrianna Piszcz, Izabela Rojek, Dariusz Mikołajewski

“…This article examines state-of-the-art research into the impact of virtual reality (VR) on brain–computer interface (BCI) performance: how the use of virtual reality can affect brain activity and neural plasticity in ways that can improve the performance of brain–computer interfaces in IoT control, e.g., for smart home purposes. …”
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A Safe and Efficient Brain–Computer Interface Using Moving Object Trajectories and LED-Controlled Activation by Sefa Aydin, Mesut Melek, Levent Gökrem

“…Nowadays, brain–computer interface (BCI) systems are frequently used to connect individuals who have lost their mobility with the outside world. …”
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Grammar-Based Computational Framework for Predicting Pseudoknots of K-Type and M-Type in RNA Secondary Structures by Christos Pavlatos

“…Understanding the structural intricacies of RNA molecules is essential for deciphering numerous biological processes. Traditionally, scientists have relied on experimental methods to gain insights and draw conclusions. …”
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Bias‐Eliminating Techniques in the Computation of Power Spectra for Characterizing Gravity Waves: Interleaved Methods and Error Analyses by Jackson Jandreau, Xinzhao Chu

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Discovery of materials for solar thermochemical hydrogen combining machine learning, computational chemistry, experiments and system simulations by Jonathan Perry, Laura Molina, Alberto de la Calle, Raul Peño, Timothy W. Jones, M. Verónica Ganduglia-Pirovano, Silvia Jiménez-Fernández, Scott W. Donne, Juan M. Coronado, Alicia Bayon

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Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision by Jui-Sheng Chou, Chi-Yun Liu, Pin-Jun Guo

“…This system uses UAVs to capture high-resolution images, which are then processed by the You Only Look Once (YOLO) models for instance segmentation. …”
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Force‐Triggered Non‐Volatile Multilevel Mechano‐Optical Memory System for Logic Computation and Image Recognition by Jiaxing Guo, Feng Guo, Hang Yang, Tianhong Zhou, Xiaona Du, Rui Gao, Haisheng Chen, Minghao Hu, Weiwei Liu, Yang Zhang, Dong Tu, Jianhua Hao

“…Furthermore, neuromorphic visual pattern pre‐processing is implemented, resulting in a substantial increase in recognition accuracy from 20% to 80%. …”
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A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces by Peiliang Gong, Pengpai Wang, Yueying Zhou, Daoqiang Zhang

“…Electroencephalography (EEG) signals classification is essential for the brain-computer interface (BCI). Recently, energy-efficient spiking neural networks (SNNs) have shown great potential in EEG analysis due to their ability to capture the complex dynamic properties of biological neurons while also processing stimulus information through precisely timed spike trains. …”
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A brain-inspired memory transformation based differentiable neural computer for reasoning-based question answering by Yao Liang, Yao Liang, Yuwei Wang, Yuwei Wang, Hongjian Fang, Hongjian Fang, Feifei Zhao, Yi Zeng, Yi Zeng, Yi Zeng, Yi Zeng, Yi Zeng

“…Inspired by the brain's learning and memory mechanisms, this paper proposes a Memory Transformation based Differentiable Neural Computer (MT-DNC) model. The MT-DNC integrates two brain-inspired memory modules—a working memory module inspired by the cognitive system that temporarily holds and processes task-relevant information, and a long-term memory module that stores frequently accessed and enduring information—within the DNC framework, enabling the autonomous transformation of acquired experiences between these memory systems. …”
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EDUCATIONAL COMPUTER GAME MATERI LISTRIK DINAMIS SEBAGAI MEDIA PEMBELAJARAN FISIKA UNTUK SISWA SMA by T. H. Purnomo, - Sugiyanto, I. Akhlis

“…Untuk mengatasi haltersebut penulis mengembangkan multimedia pembelajaran berbentuk game komputer edukasi (educational computer game)yang diterapkan pada pokok bahasan listrik dinamis. …”
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Segmentation of renal structures based on contrast computed tomography scans using a convolutional neural network by I. М. Chernenkiy, M. M. Chernenkiy, D. N. Fiev, E. S. Sirota

“…It is planned to increase the sample size to 300 observations and use post-processing operations to improve the model.…”
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Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study by Mohammed A Almanna, Lior M Elkaim, Mohammed A Alvi, Jordan J Levett, Ben Li, Muhammad Mamdani, Mohammed Al‑Omran, Naif M Alotaibi

“…ObjectiveThis study aims to explore the public perception of BCI technology by examining posts on X (formerly known as Twitter) using natural language processing (NLP) methods. MethodsA mixed methods study was conducted on BCI-related posts from January 2010 to December 2021. …”
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Research on Real Time Data Processing and Application of Urban Rail Train by ZENG Gaoping, WANG Lei

“…The data platform completes rapid processing of real-time data stream sent by the onboard device with the help of high-concurrency asynchronous IO framework, message queue, stream computing, storage engine and other big data processing components; efficient real-time interaction and flexible application of real-time data are realized with database, active data push and other technologies. …”
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Programmable Metamaterials with Perforated Shell Group Supporting Versatile Information Processing by Xiaoyuan Ma, Ziran Wang, Weipeng Zhang, Peng Yan

“…Note that most representative results in the literature focused on certain features of information processing with the designs of novel metamaterials. …”
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Immersive Virtual Reality as Computer-Assisted Cognitive–Motor Dual-Task Training in Patients with Parkinson’s Disease by Lucie Honzíková, Marcela Dąbrowská, Irena Skřinařová, Kristýna Mullerová, Renáta Čecháčková, Eva Augste, Jana Trdá, Šárka Baníková, Michal Filip, David Školoudík, Iva Štefková, Vojtěch Štula

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Trajectory-Based Morphological Operators: A Model for Efficient Image Processing by Antonio Jimeno-Morenilla, Francisco A. Pujol, Rafael Molina-Carmona, José L. Sánchez-Romero, Mar Pujol

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Securing top-k query processing in two-tiered sensor networks by Xiaoyan Kui, Jiannan Feng, Xinran Zhou, Huakun Du, Xia Deng, Ping Zhong, Xingpo Ma

“…Due to the limited resources and computing capability of the sensor nodes, it is challenging to simultaneously satisfy these two matrices for top-k querying in two-tiered sensor networks. …”
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Central Auditory Processing Disorder in Patients with Amnestic Mild Cognitive Impairment by Ga-Young Kim, HyangHee Kim, Hee Jin Kim, Sang Won Seo, Duk L. Na, Chung Mo Nam, Byoung Seok Ye, Il Joon Moon

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