An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine by Xinman Zhang, Qi Xiong, Yixuan Dai, Xuebin Xu, Guokun Song

Get full text

BINARY OPTION PRICING USING LATTICE METHOD by Donny Citra Lesmana, Natallia Christina, Ravy Ardian Kusuma, Siti Salwa Nabila

“…This research provides insights into optimal lattice method selection for practitioners in binary option pricing.…”
Get full text

The incidence and risk factors of phobic movement disorder after hip fracture internal fixation surgery by Liming Xu, Wenjie Chen

“…Abstract Objective This study aims to analyze the cumulative incidence and associated risk factors of phobic movement disorder (PMD) after hip fracture internal fixation surgery, with the goal of optimizing postoperative rehabilitation management and improving the quality of life in elderly patients. …”
Get full text

Towards Effective Parkinson’s Monitoring: Movement Disorder Detection and Symptom Identification Using Wearable Inertial Sensors by Umar Khan, Qaiser Riaz, Mehdi Hussain, Muhammad Zeeshan, Björn Krüger

“…This study proposes a two-stage movement disorder detection and classification pipeline for binary classification (normal or anomalous event) and multi-label classification (tremors, dyskinesia, and bradykinesia), respectively. …”
Get full text

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

“…Abstract An integrated strain sensor system that has a unique response to a specific (set of) human movement(s) has the potential to impact various musculoskeletal health tracking applications akin to the step counter's impact on physical activity tracking. …”
Get full text

Spatial insights into micro-mobility safety: establishing optimal buffers for scooter crash predictions by Boniphace Kutela, Meshack P. Mihayo, Emmanuel Kidando, Tumlumbe Juliana Chengula, Sia M. Lyimo

Get full text

Solving the Control Synthesis Problem Through Supervised Machine Learning of Symbolic Regression by Askhat Diveev, Elena Sofronova, Nurbek Konyrbaev

“…The optimization criterion for solving the synthesis problem is the accuracy of the object’s movement along the optimal trajectory. …”
Get full text

Convergence Study of Minimizing the Nonconvex Total Delay Using the Lane-Based Optimization Method for Signal-Controlled Junctions by C. K. Wong, Y. Y. Lee

“…This paper presents a 2D convergence density criterion for minimizing the total junction delay at isolated junctions in the lane-based optimization framework. The lane-based method integrates the design of lane markings and signal settings for traffic movements in a unified framework. …”
Get full text

Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure by Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy

“…The modified Kullback–Leibler information measure was the optimization criterion for machine learning parameters. …”
Get full text

Dynamic Gesture Recognition and Interaction of Monocular Camera Based on Deep Learning by SUNBo wen, YU Feng

“…The monocular camera captures the image, uses the skin color to segment the image, and removes the noise points according to the contour area to get the binary image of the gesture image. Then, the matrix of binary graph is introduced into the neural network as a parameter for deep learning pattern recognition. …”
Get full text

Influence of Pasture Diversity and NDVI on Sheep Foraging Behavior in Central Italy by Sara Moscatelli, Simone Pesaresi, Martin Wikelski, Federico Maria Tardella, Andrea Catorci, Giacomo Quattrini

“…GPS tracks were segmented using the Expectation Maximization Binary Clustering (EmBC) method to characterize movement behaviors, such as foraging, traveling, and resting. …”
Get full text

Entropy generation assessment in radiative rheological nanomaterial beyond conventional approach of heat and mass fluxes by T. Hayat, Aqsa Razzaq, Sajjad Shaukat Jamal, Aneeta Razaq, Sohail A. Khan

“…Dufour and Soret features are discussed. Brownian movement and thermophoresis diffusions are considered. …”
Get full text

Efficient Video Compression Using Afterimage Representation by Minseong Jeon, Kyungjoo Cheoi

“…The proposed approach utilizes optical flow to adaptively select the number of keyframes based on scene complexity, optimizing compression efficiency. Additionally, object movement masks extracted from keyframes are accumulated over time using alpha blending to generate the final afterimage. …”
Get full text

EEG-Based Attention Classification for Enhanced Learning Experience by Madiha Khalid Syed, Hong Wang, Awais Ahmad Siddiqi, Shahnawaz Qureshi, Mohamed Amin Gouda

“…Following extensive preprocessing, the EEG data undergoes several feature extraction steps: removal of artifacts due to eye blinks and facial movements, segregation of waves based on their frequencies, similarity indexing with respect to delay, binary thresholding, and (PCA). …”
Get full text

Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…Efficient numerical tools for precisely predicting the damage degree can greatly accelerate the design and optimization of advanced protective structures. Current hypervelocity impact research primarily focuses on the interaction between projectile and front plate and the movement of debris cloud. …”
Get full text

Enaction of mestizo identity in Pedro Páramo by Mindaugas Briedis, Juan Carlos Carrillo

“…We demonstrate both the usefulness of Aristotle’s universal descriptions of the human being and the shortcomings of their rationalism and optimism in the context of the postcolonial world. …”
Get full text

Decoding Articulation Motor Imagery Using Early Connectivity Information in the Motor Cortex: A Functional Near-Infrared Spectroscopy Study by Zengzhi Guo, Fei Chen

“…In this study, a 4-class speech imagery BCI based on fNIRS is presented to decode simplified articulation motor imagery (only the movements of jaw and lip were retained) of different vowels. …”
Get full text

A novel approach of drowsiness levels detection using Vis-Net combined with facial emotion by Thuong-Cang Phan, Anh-Cang Phan, Ngoc-Hoang-Quyen Nguyen

“…However, the accuracy of drowsiness prediction may be compromised if studies rely solely on facial features such as eye and mouth movements while overlooking other physiological indicators of fatigue. …”
Get full text

基于IMU信号的人工智能上肢多关节运动状态识别系统构建——卒中后人工智能运动功能评估与检测系统建设前导研究 Construction of an Artificial Intelligence Upper Limb Multi-Joint Motion State Recognition System Based on IMU Signals—A Pre... by 程相鑫1，张烁1，杜松骏1，刘子阳1，周宏宇2，3，贾伟丽2，3，李子孝2，3，刘涛1 (CHENG Xiangxin1, ZHANG Shuo1, DU Songjun1, LIU Ziyang1, ZHOU Hongyu2,3, JIA Weili2,3, LI Zixiao2,3, LIU Tao1 )

“…This suggested that optimizing sensor deployment (e.g., reducing upper arm IMUs) can reduce system complexity while maintaining high performance. …”
Get full text