Collision Risk Perception Models Using Physiological and Eye-Tracking Signals by Hyowon Lee, Ocktaeck Lim, Amandeep Singh, Siby Samuel

“…We also discuss practical applications of these models in driver-vehicle interaction and intelligent transportation systems. …”
Get full text

Objective sleep assessment in >80,000 UK mid-life adults: Associations with sociodemographic characteristics, physical activity and caffeine. by Gewei Zhu, Michael Catt, Sophie Cassidy, Mark Birch-Machin, Michael Trenell, Hugo Hiden, Simon Woodman, Kirstie N Anderson

“…An inverse 'U-shaped' relationship between sleep duration and physical activity was also established. Optimal sleep duration for health in those over 60 may therefore be shorter than younger groups.…”
Get full text

Exploratory Analysis of Hazard Factors Influencing the Safety Rating of Pedestrian Bridge by Ashar Ahmed, Bushra Aijaz, Khawaja Huzaifa Ahmed

“…These factors included the absence of guardrails, and the presence of beggars, addicts, and stray dogs. Pedestrians were also queried about the optimal time for crossing the bridge (morning, evening, or afternoon). …”
Get full text

Impact of municipal wastewater use on urban and peri‑urban agricultural productivity: the endogenous treatment-effects approach by Mohammed Abdulai, Mohammed Tanko, Alhassan Andani

“…The use of treated or untreated municipal wastewater (MWW) in agriculture has increasingly become a relevant option for freshwater conservation, optimizing the agronomic and economic gains, and increasing urban food security and nutrition. …”
Get full text

SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention by Xiyin Chen, Yonghua Shi, Junjie Pang

“…This function also applies Multi-Granularity Supervision by optimizing segmentation outputs at three different resolution levels, ensuring better feature consistency and improved model robustness across varying image scales. …”
Get full text

A Convolutional Neural Network for Early Supraventricular Arrhythmia Identification by Emilio J. Ochoa, Luis C. Revilla

“…The proposed model was based on the UNET 1D model. A binary cross-entropy loss function, Adam optimizer, and a batch size of 128 were obtained after a hyperparameter tuning. …”
Get full text

An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…In this paper, we propose an optimal deep learning model for anomaly detection in IIoT. …”
Get full text

Wide & deep learning for predicting relative mineral compositions of sediment cores solely based on XRF scans, a case study from Pleistocene Paleolake Olduvai, Tanzania by Gayantha R.L. Kodikara, Lindsay J. McHenry, Ian G. Stanistreet, Harald Stollhofen, Jackson K. Njau, Nicholas Toth, Kathy Schick

“…The results were validated using 265 validation data records unseen by the model and discuss the accuracy of models using six test records. The optimized Deep Neural Network (DNN) classification model achieved over 86% binary accuracy while the regression models were also able to predict the relative mineral abundances of samples with high accuracies. …”
Get full text

Predictive role of preoperative parameters in LAMP outcomes for myelopathy caused by COPLL by Hao Yuan, Wei Lei, Wenping Li, Yunlong Zhou, Xufeng Jia, Daxiong Feng, Fei Lei

“…Preoperative QOL scores (AUC = 0.78) also played a significant role in predicting cervical spine function improvement. …”
Get full text

DDoS classification of network traffic in software defined networking SDN using a hybrid convolutional and gated recurrent neural network by Ahmed M. Elshewey, Safia Abbas, Ahmed M. Osman, Eman Abdullah Aldakheel, Yasser Fouad

“…The model was trained using the Adam optimizer with early stopping to prevent overfitting. …”
Get full text

Part of speech weighted multi-modal emotion analysis model with dynamic adjustment of semantic representation by HUA Qiang, CHEN Zhuo, ZHANG Feng, DONG Chunru

“…The part of speech weighting module is designed to extract the part of speech of words and assigned weights to optimize sentiment discrimination. Comparative experimental results with the current advanced models such as tensor fusion network and low-rank multimodal fusion show that the average absolute errors of PW-DS model on public data sets CMU-MOSI and CMU-MOSEI are 0.607 and 0.510, respectively, and the binary classification accuracies are 89.02% and 86.93%, respectively, which is better than the models in the comparative experiments. …”
Get full text

AI-Powered IoT: A Survey on Integrating Artificial Intelligence With IoT for Enhanced Security, Efficiency, and Smart Applications by Vivek Menon U, Vinoth Babu Kumaravelu, Vinoth Kumar C, Rammohan A, Sunil Chinnadurai, Rajeshkumar Venkatesan, Han Hai, Poongundran Selvaprabhu

“…Moreover, the myriad state-of-the-art ML and DL-based approaches for securing IoT, including detecting anomalies/intrusions, authentication and access control, attack detection and mitigation, preventing distributed denial of service (DDoS) attacks, and analyzing malware in IoT, are also enlightened. In addition, this work also reviews the role of AIoT in optimizing network efficiency, securing IoT infrastructures, and addressing key challenges. …”
Get full text

AgriSage: Android‐Based Application for Empowering Farmers With E‐Commerce and AI‐Driven Disease Detection by Shabeena Naveed, Mujeeb Ur Rehman, Mumtaz Ali Shah, Shahid Sultan, Zafar Ullah Khan, Syed Zarak Shah, Mansoor Iqbal, Muhammad Ahsan Amjed

“…The application incorporates two optimized deep learning models designed for on‐device deployment. …”
Get full text

Durability and FTIR Characteristics of Sustainable Bacterial Concrete with Mineral Admixtures by R. Porselvan, T. S. Lakshmi, Muniyandi Tholkapiyan

“…The objective of this study is to optimize the concentrations of bacillus megaterium (BM), alccofine (AF), and silica fume (SF) in self-healing concrete while controlling the content of manufactured sand (M-sand). …”
Get full text

Analysis of MHD hybrid nanofluid flow over cone and wedge with exponential and thermal heat source and activation energy by Alshehry Azzh Saad, Noor Saima, Abas Syed Arshad, Fiza Mehreen, Ullah Hakeem

“…The observed trends in the mass transfer rate also support filtration and separation technologies, optimizing their efficiency based on fluid and material properties.…”
Get full text

Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction by Varun Shinde, Vineet Dhanawat, Ahmad Almogren, Anjanava Biswas, Muhammad Bilal, Rizwan Ali Naqvi, Ateeq Ur Rehman

“…In proposed methodology, we utilized Support Vector machine (SVM) for classification and the binary cross-entropy loss, and the Adam optimizer for improving accuracy. …”
Get full text

Development of the DONOR prediction model on the risk of hypertensive complications in oocyte donation pregnancy: study protocol for a multicentre cohort study in the Netherlands by Saskia le Cessie, Géraldine C M Lafeber, Vera H W Van der Endt, Yvonne Louwers, Marie-Louise P van der Hoorn, Eileen E L O Lashley

“…Introduction Oocyte donation (OD) pregnancy is accompanied by a high incidence of hypertensive complications, with serious consequences for mother and child. Optimal care management, involving early recognition, optimisation of suitable treatment options and possibly eventually also prevention, is in high demand. …”
Get full text

The Monocyte‐to‐Lymphocyte Ratio Was Associated With Intraplaque Neovascularization of the Carotid Artery on AngioPLUS by Mingfeng Zhai, Xiao Sun, Jian Wang, Jimei Xu, Fuqin Bian, Menglin Wu, Yafei Yang, Hongwei Chen, Jinghong Lu

“…An MLR value of 32.9 was the optimal cutoff value to differentiate high and low IPN. …”
Get full text

Modal Shift Potential of Different Mode Users Due to Introduction of the First MRT in Dhaka: A Prelaunch Study by Sayeda Laizu Aktar, Moon Islam, Nazifa Anzum, Sarah Tahsin, Md Waliullah, Md.Musleh Uddin Hasan

“…The study finds that affordability, availability, and accessibility factors have an influence on their modal shift behavior. Also, results from binary logistic model identify significant impact of several sociodemographic, trip- and accessibility-related factors influencing modal shift choice. …”
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

“…Drowsiness while driving is a critical global issue, endangering not only drivers but also other road users. Beyond causing property damage, it leads to severe injuries and fatalities. …”
Get full text