iYOLOV7-TPE-SS: Leveraging Improved YOLO Model With Multilevel Hyperparameter Optimization for Road Damage Detection on Edge Devices by Haniah Mahmudah, Aulia Siti Aisjah, Syamsul Arifin, Catur Arif Prastyantyo

“…The research investigates how leveraging multilevel hyperparameter optimization using the TPE-SS model improves system performance where road damage is detected. …”
Get full text

A Holistic Exploration of the Potentially Recoverable Redshift Information of Stage IV Galaxy Surveys by Bryan R. Scott, Alex I. Malz, Robert Sorba

Get full text

Improved Optimized Minimum Generalized L_p/L_q Deconvolution and Application to Bearing Fault Detection by Na Yang, Zhigang Pan, Yuanbo Xu

“…Locating the fault-induced cyclic impulses from corrupted vibration signals is a key step in detecting bearing fault characteristics. Recently, a novel deconvolution technique named the optimized minimum generalized L_p/L_q deconvolution (OMGD) was proposed and has been validated as a useful technique to highlight the periodic impulses related to bearing faults. …”
Get full text

Data-driven supervision to optimize the effectiveness of proactive case detection for mental health care among children: a proof-of-concept study by Myrthe van den Broek, M. Claire Greene, Anthony F. Guevara, Sandra Agondeze, Erimiah Kyanjo, Olivier Irakoze, Rosco Kasujja, Brandon A. Kohrt, Mark J. D. Jordans

“…This proof-of-concept study evaluated an optimization strategy for the Community Case Detection Tool (CCDT) aimed at improving community-level mental health detection and help-seeking among children aged 6–18 years. …”
Get full text

GC-Faster RCNN: The Object Detection Algorithm for Agricultural Pests Based on Improved Hybrid Attention Mechanism by Bolun Guan, Yaqian Wu, Jingbo Zhu, Juanjuan Kong, Wei Dong

“…In addition, experiments have also shown that the GC-Faster RCNN detection method can reduce interference from multiple scales and high similarity between categories, improving detection performance.…”
Get full text

A Hybrid Ensemble Learning Framework for Predicting Lumbar Disc Herniation Recurrence: Integrating Supervised Models, Anomaly Detection, and Threshold Optimization by Mădălina Duceac (Covrig), Călin Gheorghe Buzea, Alina Pleșea-Condratovici, Lucian Eva, Letiția Doina Duceac, Marius Gabriel Dabija, Bogdan Costăchescu, Eva Maria Elkan, Cristian Guțu, Doina Carina Voinescu

“…<b>Methods:</b> A dataset of 977 patients from a Romanian neurosurgical center was used. …”
Get full text

A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging by Joy Chakra Bortty, Gouri Shankar Chakraborty, Inshad Rahman Noman, Salil Batra, Joy Das, Kanchon Kumar Bishnu, Md Tanvir Rahman Tarafder, Araf Islam

“…Artificial intelligence-based solutions are putting great importance on identifying the disease efficiently, where deep learning with medical imaging is highly being utilized to develop disease detection frameworks. In this work, a novel and optimized detection framework has been proposed that comes with remarkable performance that can classify the level of Alzheimer’s accurately and efficiently. …”
Get full text

A Monocular Ranging Method for Ship Targets Based on Unmanned Surface Vessels in a Shaking Environment by Zimu Wang, Xiunan Li, Peng Chen, Dan Luo, Gang Zheng, Xin Chen

“…Specifically, firstly, the sea target area of interest is detected by YOLOv5, and the feature extraction and matching method is optimized in the front-end tracking stage to adapt to the sea environment. …”
Get full text

Research on Fault Diagnosis Method for Marine Diesel Engines Based on Multi-Scale Attention Mechanism Transformer by Manyi Chen, Huibing Gan, Hangjie Wu

“…Conventional fault diagnosis approaches and many existing Transformer-based methods often focus on single-scale features, potentially overlooking subtle fault indicators and reducing diagnostic accuracy under complex working conditions. …”
Get full text

Synthesis of Diazepam-Imprinted Polymers with Two Functional Monomers in Chloroform Using a Bulk Polymerization Method by Aliya Nur Hasanah, Dang Soni, Rimadani Pratiwi, Driyanti Rahayu, Sandra Megantara, Mutakin

“…This work started at the synthesis stage with the bulk polymerization method, using methyl methacrylate and acrylamide as functional monomers, diazepam as a template, and ethylene glycol dimethacrylate as a crosslinker. …”
Get full text

Generation Method for HVAC Systems Design Schemes in Office Buildings Based on Deep Graph Generative Models by Hongxin Wang, Ruiying Jin, Peng Xu, Jiefan Gu

“…A graph-neural-network-based evaluation method was employed to measure the models’ capacity to detect changes. …”
Get full text

Usability of the GrabMerchant Application: An Evaluation using the System Usability Scale and the Retrospective Think Aloud Method by Rima Handayani, Evi Maria

“…This study aims to evaluate the usability level of the GrabMerchant application using the System Usability Scale (SUS) and the Retrospective Think Aloud (RTA) method. The SUS method is used to measure users’ perceptions of the application's ease of use, while the RTA method helps assess effectiveness and efficiency, as well as identify issues that may not be detected through quantitative measurements. …”
Get full text

On Optimally Selecting Candidate Detectors with High Predicted Radio Signals from Energetic Cosmic Ray-Induced Extensive Air Showers by Tudor Alexandru Calafeteanu, Paula Gina Isar, Emil Ioan Slușanschi

Get full text

Improved Isolation Optimizes Downstream Application of Extracellular Vesicles Derived from <i>Mycobacterium tuberculosis</i> by Wenjing Wang, Yue Hou, Jingfang Zhang, Zhaogang Sun, Hong Sun

Get full text

Simplified bacterial denitrification method using Stenotrophomonas nitritireducens for nitrite dual isotope analysis in low-concentration environmental samples by Sushmita Deb, Dominika Lewicka-Szczebak

“…This study presents a simplified and optimized bacterial denitrification method using Stenotrophomonas nitritireducens for precise nitrite isotope analysis in low-concentration environmental samples. …”
Get full text

The optimization path of agricultural industry structure and intelligent transformation by deep learning by Xingchen Pan, Jinyu Chen

“…Subsequently, a hybrid optimization method is designed, combining the Genetic Algorithms with particle swarm optimization to improve the model’s global search capability and local convergence speed. …”
Get full text

Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…To efficiently counter new malware variants, novel techniques distinct from conventional methods must be utilized. Machine learning (ML) techniques cannot detect every new and complex malware variant. …”
Get full text

Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

“…The ACAD-BMDL method mainly focuses on enhancing security in the CPS environment via the cyberattack detection process. …”
Get full text

An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…The duration and value of this unchanging optimal vector depend on the type and location of the switch fault, enabling precise fault detection and localization using both phase information and the MPC optimal current vector. …”
Get full text

Efficient sepsis detection using deep learning and residual convolutional networks by Ahmed S. Almasoud, Ghada Moh Samir Elhessewi, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Menwa Alshammeri, Donia Badawood, Faisal Mohammed Nafie, Mohammed Assiri

“…These results demonstrate the model’s superior ability to detect sepsis accurately and reliably, outperforming traditional clinical scoring methods and conventional machine learning approaches.…”
Get full text