Modification of Multilayer Perceptron Using Detection Rate Model for Prediction of Nominal Exchange Rate by Al-Khowarizmi Al-Khowarizmi, Romi Fadillah Rahmat, Michael J Watts, Akrim Akrim, Arif Ridho Lubis, Muhammad Basri

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Comparative study of pavement anomaly detection using detection models with rotated bounding boxes by Shunli Ji, Fusheng Niu, Yazhou Qin

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Ancient Tamil inscription recognition using detect, recognize and labelling, interpreter framework of text method by Balasubramanian Murugan, P. Visalakshi

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Quantifying solid volume of stacked eucalypt timber using detection-segmentation and diameter distribution models by Gianmarco Goycochea Casas, Zool Hilmi Ismail, Mathaus Messias Coimbra Limeira, Carlos Pedro Boechat Soares, José Marinaldo Gleriani, Daniel Henrique Brada Binoti, Carlos Alberto Araújo Júnior, Mohd Ibrahim Shapiai, Leonardo Ippolito Rodrigues, Tassius Menezes Araújo, Helio Garcia Leite

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CSDNet: Context-Aware Segmentation of Disaster Aerial Imagery Using Detection-Guided Features and Lightweight Transformers by Ahcene Zetout, Mohand Saïd Allili

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Driver cellphone usage detection using wavelet scattering and convolutional neural networks by Ali Besharati, Ali Nahvi, Serajeddin Ebrahimian

Subjects: “…mobile use detection…”
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Online Traffic Crash Risk Inference Method Using Detection Transformer and Support Vector Machine Optimized by Biomimetic Algorithm by Bihui Zhang, Zhuqi Li, Bingjie Li, Jingbo Zhan, Songtao Deng, Yi Fang

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Rapid and Ultrasensitive Sensor for Point-of-Use Detection of Perfluorooctanoic Acid Based on Molecular Imprinted Polymer and AC Electrothermal Effect by Niloufar Amin, Jiangang Chen, Ngoc Susie Nguyen, Qiang He, John Schwartz, Jie Jayne Wu

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Generating Watertight 3D Building Models from Airborne LiDAR Point Clouds using Detection Transformer (DETR) by L. Kaufhold, M. Kada

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The Development of an Electron Pulse Dilation Photomultiplier Tube Diagnostic Instrument by Wenyong Fu, Chenman Hu, Ping Chen, Rongyan Zhou, Ling Li

“…A new pulse-dilated photomultiplier tube (PD-PMT) with sub-20 ps temporal resolution and associated drivers have been developed for use detection and signal amplification in the inertial confinement fusion (ICF) community. …”
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Predicting Anabolic Androgenic Steroid Doping among Specialized Health Care Patients with Elastic Net Regression Reveals Potential Laboratory Variables for “Patient Biological Pass... by Paula Katriina Vauhkonen, Jari Haukka, Ilkka Vauhkonen, Katarina Mercedes Lindroos, Mikko Ilari Mäyränpää

“…Abstract Background Recent years have brought significant development in athlete doping use detection with the implementation of the Athlete Biological Passport (ABP). …”
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FFLKCDNet: First Fusion Large-Kernel Change Detection Network for High-Resolution Remote Sensing Images by Bochao Chen, Yapeng Wang, Xu Yang, Xiaochen Yuan, Sio Kei Im

“…Change detection is an important technique that identifies areas of change by comparing images of the same location taken at different times, and it is widely used in urban expansion monitoring, resource exploration, land use detection, and post-disaster monitoring. However, existing change detection methods often struggle with balancing the extraction of fine-grained spatial details and effective semantic information integration, particularly for high-resolution remote sensing imagery. …”
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Enhancing Vegetation Mapping in Mexico through Artificial Intelligence and Remote Sensing Techniques by R. Orozco Gálvez, H. Ramos Ramos, J. C. Camacho Pérez, J. L. Ornelas de Anda, C. M. López López, A. K. Ahedo Díaz

“…INEGI are currently exploring artificial intelligence applications, particularly the use of multilayer perceptron neural networks, to enhance vegetation and land-use detection. Robust quality assurance and control measures aligned with ISO-2859 standards are integrated. …”
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Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive Sensing by Shizhe Li, Chunzhi Fan, Ali Kargarandehkordi, Yinan Sun, Christopher Slade, Aditi Jaiswal, Roberto M. Benzo, Kristina T. Phillips, Peter Washington

“…However, difficulties in addressing severe between-subject data heterogeneity have hampered the adaptation of machine learning approaches for substance use detection, necessitating more robust technological solutions. …”
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A Recombinase-Aided Amplification-Lateral Flow Dipstick Detection Technique for Early On-Site Diagnosis of Bacterial Blight Caused by Xanthomonas oryzae pv. oryzae in Rice by Yuxuan Hou, Jie Zhu, Chenglong Lu, Libo Fan, Mengqi Liang, Xiaobo Zhang, Benyi Cheng, Xia Xu, Junyi Gong

“…Consequently, it is imperative to develop a rapid, highly sensitive, specific, and easy-to-use detection technique for early on-site diagnosis of BB. …”
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Point-of-caRE DiagnostICs for respiraTOry tRact infectionS (PREDICTORS) study: developing guidance for using C-reactive protein point-of-care tests in the management of lower respi... by Tom Fahey, Carmel Hughes, Akke Vellinga, Cristin Ryan, Gerard J Molloy, Cathal Cadogan, Joseph O’Shea

“…Statements focused on intended use, detection of bacterial LRTIs, communication strategies, device features, performance and ease of use of CRP POCT.Setting and participants The panel of experts included 19 healthcare professionals across several specialties, including general practitioners, community pharmacists, hospital pharmacists and respiratory physicians.Main outcome measures Panellists rated each guidance statement using a 5-point Likert scale, with acceptance, revision or rejection determined using predefined cut-off scores for medians and interquartile ranges. …”
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Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City by Naser Shafiei Sabet, Faranak Feyzbabaei cheshmeh sefidi

“…Based on this, the land uses of the region were divided into four classes: residential and non-residential use, barren lands and poor rangeland, garden lands and irrigated agriculture, and mountainous and rangeland. After land use detection and its changes, the trend of these changes was predicted in 2050 using the automatic cell model and Markov chain due to its high ability to detect spatial-spatial component changes.Results and discussion: Results indicated that the growth and development of urbanization in this metropolis have led to the city's expansion in this area. …”
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Piston Sensing for Sparse Aperture Systems via All-Optical Diffractive Neural Network by Xiafei Ma, Zongliang Xie, Haotong Ma, Ge Ren

“…This paper demonstrates that an optical diffractive neural network is capable of achieving light-speed piston sensing. By using detectable intensity distributions to represent pistons, the proposed method can convert the imaging optical field into estimated pistons without imaging acquisition and electrical processing, thus realizing the piston sensing task all-optically. …”
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The Mathematical Foundations of 3D Compton Scatter Emission Imaging by T. T. Truong, M. K. Nguyen, H. Zaidi

“…The mathematical principles of tomographic imaging using detected (unscattered) X- or gamma-rays are based on the two-dimensional Radon transform and many of its variants. …”
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Recent trends in capillary electrokinetic chromatography with liposomes, lipid aggregates, and lipid emulsions by Valeriia Lishchuk, Susanne K. Wiedmer

“…Various liposomes, lipid aggregates, and liposomal formulations have been adopted as background electrolytes in EKC and ultraviolet detection is by far the most commonly used detection mode. The possibility to vary the type of lipids and their content in the lipid aggregates has increasingly expanded the usage of liposome EKC for solving specific tasks. …”
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