Ensemble Deep Learning Technique for Detecting MRI Brain Tumor by Rasool Fakhir Jader, Shahab Wahhab Kareem, Hoshang Qasim Awla

“…In recent years, a variety of computational algorithms for segmentation and classification have been developed with improved results to get around the issue. …”
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A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition by Ziyi Zhao, Zhentan Quan, Huaze Tang, Qinghao Xu, Hongfa Zhao, Zihan Wang, Ziwu Song, Shoujie Li, Ishara Dharmasena, Changsheng Wu, Wenbo Ding

“…Highlights We propose a broad range triboelectric sensor system employing elastic sponge and shielding layers, which can realize fast stiffness recognition within 1.0 s at a low cost. A novel algorithm is proposed for rapid stiffness identification by extracting signal characteristics, effectively reducing demand of computing resources. …”
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Characteristics of transcriptome and chromatin accessibility in the peripheral blood after acute hypoxia exposure by Kuo Zeng, Pei-ru Yuan, Jin-feng Xuan, Lai-xi Zhao, Xiao-na Li, Jun Yao, Dong Zhao

“…Differential expression analysis and the Boruta algorithm identified differentially expressed genes (DEGs) and differentially accessible regions (DARs) associated with hypoxia adaptation. …”
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Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot by Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang

“…In this paper, visual information is added to the locomotion control problem of humanoid robot, and a three-stage multi-objective constraint policy distillation optimization algorithm is innovantly proposed. The expert policies of different terrains to meet the requirements of gait aesthetics are trained through reinforcement learning, and these expert policies are distilled into student through policy distillation. …”
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Effective practices in enhancing autonomous English language learning through YouTube by Ritueli Daeli, Santosa Santosa

“…However, the study identifies significant challenges, including the overwhelming quantity and variable quality of available content, which may hinder learners’ ability to find reliable sources. The platform’s algorithm-driven design can also distract learners, reducing their focus and productivity. …”
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Digital Sovereignty in times of AI: between perils of hegemonic agendas and possibilities of alternative approaches by Alexandre Costa-Barbosa, Bianca Herlo, Gesche Joost

“…Predominant perspectives often focus on state, market, or individual sovereignty over data, algorithms, and AI models. However, through document and discourse analysis, the article examines alternative approaches such as sustainable, grassroots, and feminist digital sovereignties and those led by communities or indigenous peoples. …”
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Noise-immune zeroing neural dynamics for dynamic signal source localization system and robotic applications in the presence of noise by Yuxin Zhao, Jiahao Wu, Mianjie Zheng

“…The NIZND model is a brain-inspired algorithm that incorporates an integral term and an activation function into the traditional zeroing neural dynamics (ZND) model, designed to effectively mitigate noise interference during localization tasks. …”
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DDC_Calc, software to diagnose developmental dysplasia of the hip in infants (version 1) by José Julio Requeiro Molina, Ernesto Pérez Pérez, Ana María Machado Consuegra, Karina Leonor Fernández Sánchez, Roberto Díaz Amador, José Julio Requeiro Morejón

“…The Viola-Jones artificial vision algorithm was used for the detection of the structures, as well as a rule-based system with a view to a diagnostic suggestion. …”
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Model Error Correction in Data Assimilation by Integrating Neural Networks by Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yi-ke Guo

“…The effectiveness of the proposed algorithm is validated by examples and by a sensitivity study.…”
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A Framework for Detecting Vehicle Occupancy Based on the Occupant Labeling Method by Jooyoung Lee, Jihye Byun, Jaedeok Lim, Jaeyun Lee

“…This study overcomes these limits and proposes an overall framework for an algorithm that effectively detects occupants in vehicles using photographic data. …”
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Linking interannual variability of turbidity fronts in the Eastern China Seas to local processes and ocean warming by Yunfei Du, Daidu Fan, Jicai Zhang

“…A gradient-based front detection algorithm and frontal probability are used to identify the geographical locations of turbidity fronts and their variability at the interannual scale, respectively. …”
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Recognizing Cognitive and Psychiatric Changes in the Post-Highly Active Antiretroviral Therapy Era by Adriana Carvalhal, Jean-Guy Baril, Frederic Crouzat, Joss De Wet, Patrice Junod, Colin Kovacs, Nancy Sheehan

“…Specifically addressed in the present review are the International HIV Dementia Scale, a novel screening equation and algorithm for HAND, as well as brief, validated, verbal questionnaires for detection of depression and substance abuse. …”
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A Vision-Based Video Crash Detection Framework for Mixed Traffic Flow Environment Considering Low-Visibility Condition by Chen Wang, Yulu Dai, Wei Zhou, Yifei Geng

“…First, Retinex image enhancement algorithm was introduced to improve the quality of images, collected under low-visibility conditions (e.g., heavy rainy days, foggy days and dark night with poor lights). …”
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Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling network by Chudi Wang, Shaohua Ma, Zhiyuan Cai, Ning Yan, Qiwei Wang

“…Finally, the particle swarm optimisation algorithm is used to solve the game model so as to solve the real‐time charging price under various constraints. …”
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Macro Modeling of Column Removal in RC Frames with Consideration of Importance Factor and Infill Walls by Seyed Ali Hassanzadeh, Hamid Reza Ashrafi, Mehdi Komasi

“…Finally, a proposed approach for column removal in NDA via OpenSees program is introduced, and its high accuracy is shown. This developed algorithm can remove any element of structure in different time intervals.…”
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Current Trends in the Development of Reporting in the Sphere of Investments in Human Capital by Maryna Resler, Jurij Renkas, Ivan Rusyn

“…In the process of work, a system of updated reporting on the level of payment of human capital of employees was developed, taking into account current needs and the possibility of ranking employees by category. Also, a visual algorithm of the process of forming an updated reporting form from primary documents to the corresponding result was created separately. …”
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Dynamic Spatiotemporal Causality Analysis for Network Traffic Flow Based on Transfer Entropy and Sliding Window Approach by Senyan Yang, Lianju Ning, Xilong Cai, Mingyu Liu

“…This study proposes a dynamic spatiotemporal causality modeling approach to analyze traffic causal relationships for the large-scale road network. Transfer entropy algorithm is utilized to detect the spatiotemporal causality of network traffic states based on the extensive traffic time series data, which could measure the amount and direction of information transmission. …”
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Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters by Alexander Paz, Kul Shrestha, Cristian Arteaga, Douglas Baker

“…Traffic volume and speed are the performance measures used in this study, and the methodology is developed without considering the characteristics of a specific traffic flow model. A genetic algorithm was implemented to find a solution to the proposed mathematical program. …”
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A portable gas sensor based on In2O3@CuO P–N heterojunction connected via Wi-Fi to a smartphone for real-time carbon monoxide determination by Sina Khalili, Mohsen Majidi, Morteza Bahrami, Majid Roshanaei, Tayyebeh Madrakian, Abbas Afkhami

“…To process the information obtained from the gas sensor, an algorithm has been constructed, trained, and integrated into a smartphone for this purpose. …”
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Three-Dimensional Deformation Prediction Based on the Improved Segmented Knothe–Dynamic Probabilistic Integral–Interferometric Synthetic Aperture Radar Model by Shuang Wang, Genyuan Liu, Zhihong Song, Keming Yang, Ming Li, Yansi Chen, Minhua Wang

“…The ISK-DPIM-InSAR model constructs the inversion equations of InSAR line-of-sight deformation, north–south and east–west horizontal movement deformation, vertical deformation, inverts the optimal values of the predicted parameters of the workforce through the particle swarm algorithm, and substitutes it into the ISK-DPIM-InSAR model for predicting the three-dimensional dynamic deformation of a mining face. …”
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