An Energy-Efficient Cluster-Based Vehicle Detection on Road Network Using Intention Numeration Method by Deepa Devasenapathy, Kathiravan Kannan

“…Initially, sensor nodes that detect a vehicle are grouped into separate clusters. …”
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Noninvasive Manganese-Enhanced Magnetic Resonance Imaging for Early Detection of Breast Cancer Metastatic Potential by Joris Tchouala Nofiele, Gregory J. Czarnota, Hai-Ling Margaret Cheng

“…The culprit is that current imaging-based cancer screening and diagnosis are limited to assessing gross physical changes, not the earliest cellular changes that drive cancer progression. The purpose of this study is to develop a novel noninvasive magnetic resonance (MR) cellular imaging capability for characterizing the metastatic potential of breast cancer and enable early cancer detection. …”
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Hybrid-RViT: Hybridizing ResNet-50 and Vision Transformer for Enhanced Alzheimer's disease detection. by Hongjie Yan, Vivens Mubonanyikuzo, Temitope Emmanuel Komolafe, Liang Zhou, Tao Wu, Nizhuan Wang

“…Alzheimer's disease (AD) is a leading cause of disability worldwide. Early detection is critical for preventing progression and formulating effective treatment plans. …”
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PFRNet: A Small Object Detection Method Based on Parallel Feature Extraction and Attention Mechanism by Hai Lin, Ji Wang, Jingguo Li

“…To address the challenge of detecting small objects in aerial and satellite remote sensing images with low-resolution, we propose a high-precision object detection method based on PFRNet. …”
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The First African Swine Fever Viruses Detected in Wild Boar in Hong Kong, 2021–2023 by Karina W. S. Tam, Candy C. Y. Lau, Timothy T. L. Ng, Sin Ming Ip, Sin Fat Pun, Amanda Corla, Carrie Batten, Christopher J. Brackman

“…This study represents the first report on the detection and whole-genome sequencing of African swine fever (ASF) viruses in wild boar in Hong Kong in 2021–2023. …”
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Using automated sound recording and analysis to detect bird species‐at‐risk in southwestern Ontario woodlands by Stephen B. Holmes, Kenneth A. McIlwrick, Lisa A. Venier

“…ABSTRACT We conducted a field study to compare the effectiveness of acoustic recordings coupled with automated sound recognition versus traditional point counts in terms of their relative abilities to detect 3 bird species‐at‐risk in southwestern Ontario, Canada. …”
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Simple Single-Person Fall Detection Model Using 3D Pose Estimation Mechanisms by Jinmo Yang, R. Young Chul Kim

“…This demands immediate medical care to prevent the injuries from progressing when the accident first happens. Although various technologies with wearables and vision systems that utilize artificial intelligence (AI) have been developed to detect falls, many AI models are complex and resource-intensive. …”
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An Edge-Computing-Driven Approach for Augmented Detection of Construction Materials: An Example of Scaffold Component Counting by Xianzhong Zhao, Bo Cheng, Yujie Lu, Zhaoqi Huang

“…Construction material management is crucial for project progression. Counting massive amounts of scaffold components is a key step for efficient material management. …”
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Destabilized green fluorescent protein detects rapid removal of transcription blocks after genotoxic exposure by Nataliya Kitsera, Andriy Khobta, Bernd Epe

“…Concordantly, treatments with transcription inhibitors α-amanitin and 5,6-dichloro-1-β-D-ribofuranosylbenzimidazole (DRB) resulted in progressive depletion of the destabilized GFP, detected as fluorescence decline, while the stable protein levels were not affected under the same conditions. …”
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Detection of EGFR gene mutations for prescription of targeted drugs for non-small cell lung cancer by O. N. Pavlova, O. P. Bukareva

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Rapid detection of pork and pig derivatives based on volatile compounds aroma using electronic nose by Ismarti Ismarti

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Secure performance analysis and detection of pilot attack in massive multiple-input multiple-output system by Xianyu Zhang, Daoxing Guo, Kefeng Guo, Hehao Niu

“…This optimization problem is efficiently solved by fractional programming. Numerical simulation results are derived to validate the secrecy performance of the massive multiple-input multiple-output system, the active pilot attacker detection performance, and the energy efficiency optimization effect.…”
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Detection of exosomal MicroRNAs in milk of different animal species and investigation of their Temperature–Dependent changes by Ahmet Celık, Aydın Vural, Ibrahim Halil Yıldırım

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Real Time Application for Automatic Object and 3D Position Detection and Sorting with Robotic Manipulator by Tichaona Jonathan Makomo, Barış Boru, Kenan Erin

“…This work deals with the likelihood of merging a 3D sensor into a robotic manipulator, with an objective to automatically detect, track and grasp an object, placing it in another location. …”
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Vulnerable Plaque Detection and Quantification with Gold Particle–Enhanced Computed Tomography in Atherosclerotic Mouse Models by David De Wilde, Bram Trachet, Carole Van der Donckt, Bert Vandeghinste, Benedicte Descamps, Christian Vanhove, Guido R. Y. De Meyer, Patrick Segers

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Assessing the Diagnostic Utility of FDG-PET and HPLC for Detecting Microglia Activation and Inflammation in Alzheimer’s Disease by Sayed Mehrdad Azimi, Mohammadreza Elhaie, Iraj Abedi, Hossein Salehi

“…Early and accurate Alzheimer’s disease (AD) diagnosis is essential due to its progressive nature and significant impact. This study reviews and analyses FDG-PET and HPLC techniques in detecting inflammation and microglia activation in AD, marking the first comparison of their diagnostic capabilities. …”
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Research on the performance of the SegFormer model with fusion of edge feature extraction for metal corrosion detection by Bingnan Yan, Conghui Wang, Xiaolong Hao

“…It introduces the feature fusion module (FFM) to achieve hierarchical and progressive feature fusion, thereby enhancing the detection of small corroded areas. …”
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A novel neuroimaging based early detection framework for alzheimer disease using deep learning by Areej Alasiry, Khlood Shinan, Abeer Abdullah Alsadhan, Hanan E. Alhazmi, Fatmah Alanazi, M. Usman Ashraf, Taseer Muhammad

“…Abstract Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive function, posing a major global health challenge. …”
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Volatile Organic Compounds as Early Detection Indicators of Wheat Infected by <i>Sitophilus oryzae</i> by Xinjie Liu, Haixin Jiang, Haoqi Xu, Sijia Shang, Dianxuan Wang, Yueliang Bai, Fangfang Zeng

“….), is a major pest that poses a considerable threat to grain safety storage. Early detection is of great significance in reducing grain losses. …”
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A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural Environments by Jiaxin Yin, Weixia Li, Junhong Shen, Chaoyu Zhou, Siqi Li, Jingchao Suo, Jujing Yang, Ruiqi Jia, Chunli Lv

“…This paper proposes a diffusion-based object detection model that integrates the endogenous diffusion sub-network and the endogenous diffusion loss function to progressively optimize feature distributions, significantly enhancing detection performance for complex backgrounds and diverse disease regions. …”
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