MSMT-RTDETR: A Multi-Scale Model for Detecting Maize Tassels in UAV Images with Complex Field Backgrounds by Zhenbin Zhu, Zhankai Gao, Jiajun Zhuang, Dongchen Huang, Guogang Huang, Hansheng Wang, Jiawei Pei, Jingjing Zheng, Changyu Liu

“…Accurate detection of maize tassels plays a crucial role in yield estimation of maize in precision agriculture. …”
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Noninvasive Hemodynamic Assessment by a Sensor Patch by Zak Loring, MD, MHS, Nicholas B. Bolus, PhD, F. Brennan Torstrick, PhD, Danielle Wilson, BS, Melissa Lefevre, BS, Brett D. Atwater, MD, Anita Kelsey, MD, MBA, Jonathan P. Piccini, MD, MHS

“…As these intervals have prognostic value, SANSA-based longitudinal monitoring may facilitate early cardiomyopathy detection.…”
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Creation and Training of artifical neural network for Detection and Neutralization of Network DDos–attacks(“Denial of Service”) by P. V. Razumov, L. V. Cherkesova, E. A. Revyakina

“…An analysis of existing artificial neural networks was carried out to determine their optimal structure; Existing methods for detecting network DDoS attacks have been studied; Datasets were collected and refined to improve the quality of training; The structure of the artificial neural network of the classifier was created and its training was carried out, a demonstration software was created that illustrates the process of classification and blocking and neutralizing DDoS attacks.Conclusion. …”
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Expression of BVDV E2 protein in CHO-S cells and development of an indirect ELISA for serological detection by Jiahui Wang, Ao Zhang, Zhiwei Hou, Bin Tan, Shuqin Zhang

“…Optimized assay conditions included: 0.4 μg/well antigen coating, 5% BSA blocking, 1:100 serum dilution, and 1:5000 secondary antibody dilution. …”
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Modeling and Simulation of Abnormal Behavior Detection Through History Trajectory Monitoring in Wireless Sensor Networks by Jung Sub Ahn, Tae Ho Cho

“…Furthermore, a new strategy is proposed to maximize the lifetime of the network by blocking any compromised nodes. The proposed spatiotemporal data-based detection approach is applicable to a wide variety of fields owing to its use of a shared security model. …”
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Computer Engineering and Design of Cast Parts for Internal Combustion Engine Crankcase by Akimov O. V., Marchenko A. P., Alyokhin V. I., Soloshenko V., Shinsky O. Y., Klymenko S. I., Kostyk K. O.

“…Recommendations for changing the configuration of the partition in order to reduce the metal content of the casting and recommendations for changing the Technical Conditions for casting defects were stated for the casting block crankcase 4ChN12/14. For defects of discontinuity type, the maximum size was defined, and controlled places of their detecting were defined.…”
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Evaluated anatomical variations in children by sacrococcygeal ultrasonography as a new tool: a report from a Chinese tertiary hospital by Shan Wang, Lei Hu, Xin-lu Yang, Ting-ting Yan, Chun-lin Xie, Sheng Wang, Ying Liu, Xiao-qing Chai, Ling Zhou, Wei Gao

“…Objective Anatomical variations in the sacrococcygeal region can lead to complications such as accidental dural puncture during caudal block. This study aimed to determine the prevalence of sacrococcygeal anatomical variations using ultrasonography and to evaluate the necessity of ultrasound guidance in sacral block procedures.Methods Ultrasound findings of sacrococcygeal anatomy were validated against magnetic resonance imaging (MRI). …”
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Seismotectonic analysis of the Viraayots–Karabakh zone (Armenia) and the adjacent areas of Lesser Caucasus by K. S. Ghazaryan, R. S. Sargsyan

“…In the context of block tectonic activity, analysing these data makes it possible to detect the blocks with the highest probability of the occurrence of strong earthquakes.…”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…Then, the local detection results of each sub-block are fused through Bayesian inference. …”
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EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning by Gabriella Miles, Melvyn Smith, Nancy Zook, Wenhao Zhang

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Detecting AI-Generated Images Using a Hybrid ResNet-SE Attention Model by Abhilash Reddy Gunukula, Himel Das Gupta, Victor S. Sheng

“…This paper presents a novel hybrid deep learning model for detecting AI-generated images by integrating the ResNet-50 architecture with Squeeze-and-Excitation (SE) attention blocks. …”
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FEVT-SAR: Multicategory Oriented SAR Ship Detection Based on Feature Enhancement Vision Transformer by Minding Fang, Yu Gu, Dongliang Peng

“…FEViT includes two innovative lightweight modules: localized feature interactive convolution block (LFICB) and dual-granularity attention transformer block (DGTB). …”
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A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events by Alireza Fakhim Babaei, Jafar Tanha, Mohammad Ali Balafar, Seyedehsan Roshan

“…We introduce a multi-domain feature extractor (MDFE) block with a Squeeze and Excitation (SE) block for enhanced feature representation and channel-wise attention. …”
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Fast COVID-19 Detection from Chest X-Ray Images Using DCT Compression by Fatma Taher, Reem T. Haweel, Usama M. H. Al Bastaki, Eman Abdelwahed, Tariq Rehman, Tarek I. Haweel

“…The CXR images are divided into sub-blocks for finding out the discrete cosine transform (DCT) for every sub-block in this proposed method. …”
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Power transmission system’s fault location, detection, and classification: Pay close attention to transmission nodes by Chiagoziem C. Ukwuoma, Dongsheng Cai, Olusola Bamisile, Ejiyi J. Chukwuebuka, Ekong Favour, Gyarteng S.A. Emmanuel, Acen Caroline, Sabirin F. Abdi

“…This study, therefore, presents a fault localization, detection, and classification model for transmission systems that concentrate on the key distribution nodes. …”
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MEFA-Net: Multilevel Feature Extraction and Fusion Attention Network for Infrared Small-Target Detection by Jingcui Ma, Nian Pan, Dengyu Yin, Di Wang, Jin Zhou

“…Infrared small-target detection encounters significant challenges due to a low image signal-to-noise ratio, limited target size, and complex background noise. …”
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Real-Time Object Detection Using Low-Resolution Thermal Camera for Smart Ventilation Systems by Jun-Hee Lee, Eung-Tea Kim

“…Deep learning-based object detection research has primarily evolved around RGB camera imagery. …”
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DC-Mamba: A Novel Network for Enhanced Remote Sensing Change Detection in Difficult Cases by Junyi Zhang, Renwen Chen, Fei Liu, Hao Liu, Boyu Zheng, Chenyu Hu

“…Remote sensing change detection (RSCD) aims to utilize paired temporal remote sensing images to detect surface changes in the same area. …”
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A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography by Sule Erdem, Suheda Erdem, Muammer Turkoglu, Abdulkadir Sengur, Nebras M. Sobahi

“…In this study, a MultiResUNet-Fusion model including residual blocks, multiscale feature fusion, and SE blocks was developed for segmentation of the anterior belly of the digastric muscle. …”
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A Deep-Learning-Based Detection Method for Small Target Tomato Pests in Insect Traps by Song Wang, Daqing Chen, Jianxia Xiang, Cong Zhang

“…In this work, an improved approach based on the advanced object detection model You Only Look Once version 7-tiny (YOLOv7-tiny) is introduced, aiming to enhance the accuracy of detecting small tomato pests while maintaining computational complexity. …”
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