PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…The Internet of Things (IoT) is a network that interconnects many everyday objects, including computers, televisions, washing machines, and even whole urban areas. …”
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MIF-YOLO: An Enhanced YOLO with Multi-Source Image Fusion for Autonomous Dead Chicken Detection by Jiapan Li, Yan Zhang, Yong Zhang, Hongwei Shi, Xianfang Song, Chao Peng

“…Additionally, an exponential moving average (EMA) attention mechanism is strategically embedded within the YOLO algorithm architecture's neck region to bolster the model's ability to discern targets under low-light scenarios, enhancing both its accuracy rates and adaptability. The loss function of the model is refined through the implementation of Modified Partial Distance-IoU (MPDIoU), facilitating a more nuanced evaluation of the overlap of objects. …”
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Prostate cancer detection with transrectal in-bore MRI biopsies: impact of prostate volume and lesion features by Alexander Schaudinn, Harald Busse, Constantin Ehrengut, Nicolas Linder, Jonna Ludwig, Toni Franz, Lars-Christian Horn, Jens-Uwe Stolzenburg, Timm Denecke

“…Abstract Objectives To systematically analyze the diagnostic outcome of transrectal in-bore MRI-guided biopsies as a function of prostate volume and lesion features. …”
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DETECTING CHANGES IN COMFORT, PAIN, AND MOBILITY OVER CLINICAL MILESTONES FOR INDIVIDUALS WITH LOWER LIMB LOSS by Brittany Pousett, Charlene C Harasym, Malena Sofia Rapaport, Tessa Richardson, Jesse Spellen, David W Moe, William C Miller

“… BACKGROUND: Functional mobility, comfort and the absence of pain are key goals of prosthetic treatment. …”
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The differential diagnosis of adrenal incidentalomas with non-benign appearence on unenhanced computed tomography: a retrospective study by Irena A. Ilovayskaya, Anna Y. Lugovskaya, Alexey A. Glazkov, Timur A. Britvin, Larisa E. Gurevich, Valentina E. Shikina

“…Tumor size and native density in unenhanced CT images are widely used to predict tumor malignancy, however, their diagnostic accuracy and the added value of clinical and anamnestic data remain uncertain. Objective: To identify clinical markers that possibly could differentiate pheochromocytoma (PCC), adrenocortical cancer (ACC), and hormonally non-functioning adrenal adenoma (NAA) in patients with adrenal masses of non-benign appearance on unenhanced CT. …”
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Improved YOLO-Based Pulmonary Nodule Detection with Spatial-SE Attention and an Aspect Ratio Penalty by Xinhang Song, Haoran Xie, Tianding Gao, Nuo Cheng, Jianping Gou

“…Current methodologies often utilize channel attention mechanisms and intersection over union (IoU)-based loss functions. Yet, they frequently overlook spatial context and struggle to capture subtle variations in aspect ratios, which hinders their ability to detect small objects. …”
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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

“…Objective. The goal of the research is to develop an artificial neural network (ANN) to detect and neutralize network DDoS attacks.Method. …”
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Integration Research of Pantograph-Catenary Detection System for Intelligent Operation and Maintenance of Heavy-haul Locomotive by Jiejun LYU, Hongjun HE, Congjian JIANG

“…Based on the introduction of the current situation of pantograph catenary system detection in service, the detection requirements, detection objects and technical challenges of pantograph catenary system were analyzed and summarized. …”
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Design and Prototype of a Local Relay Fault Detection System for Three Phase Power Lines. by Lutaama, Samuel

“…The project's objective is to create a more accurate, real-time fault detection system. …”
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Interdisciplinary framework for cyber-attacks and anomaly detection in industrial control systems using deep learning by Qawsar Gulzar, Khurram Mustafa

“…As a result, models didn’t do well in minority classes but did well in majority classes, which made the intrusion detection system (IDS) less useful. The key objective is to provide insights into the normal functioning of the system and the disruptions produced by cyberattacks. …”
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Hydrogel bead-based isothermal detection (BEAD-ID) for assessing the activity of DNA-modifying enzymes by Kathrine Nygaard Borg, Ayush Shetty, Guangyao Cheng, Shaodi Zhu, Tianle Wang, Wu Yuan, Ho Pui Ho, Birgitta Ruth Knudsen, Cinzia Tesauro, Yi-Ping Ho

“…Traditional quantification methods often overlook enzymatic activity, the true determinants of enzymes’ functions. We present hydrogel Bead-based Isothermal Detection (BEAD-ID), utilizing uniform hydrogel bead-based microreactors to evaluate DNA-modifying enzyme activity on-bead. …”
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Detection of Psychomotor Retardation in Youth Depression: A Machine Learning Approach to Kinematic Analysis of Handwriting by Vladimir Džepina, Nikola Ivančević, Sunčica Rosić, Blažo Nikolić, Dejan Stevanović, Jasna Jančić, Milica M. Janković

“…The feature selection process revealed that velocity-related features were most effective in distinguishing patients with depression from controls, expectedly reflecting a slowdown in psychomotor functioning among the patients. The findings demonstrate that kinematic handwriting analysis, when combined with machine learning techniques, offers a promising tool to support objective recognition of psychomotor speed, providing insight into psychomotor retardation in youth with depression.…”
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Clinical Implications of Social Anxiety Disorder (SAD) and its Detection Methods- A Systematic Review by Dian Pitaloka Priasmoro, Yuni Asri

“…Background: A common symptom of SAD is significant impairment in interpersonal relationships that can affect various aspects of life as well as daily functioning and lead to decreased quality of life. Individuals with high social anxiety will tend to withdraw from social environments. …”
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The Elecsys AMH Assay Is a Suitable Method to Detect Gonadal Tissue in Male Alpacas and Llamas by Sait Sendag, Henrik Wagner, Ali Osman Turgut, Davut Koca, Gerhard Schuler, Axel Wehrend

“…ABSTRACT Objective Anti‐Müllerian hormone (AMH) has become an important hormonal parameter for the detection of gonadal tissue and for the diagnosis of gonadal functions and pathologies. …”
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Flowering Index Intelligent Detection of Spray Rose Cut Flowers Using an Improved YOLOv5s Model by Junyan Li, Ming Li

“…By incorporating small-scale anchor boxes and small object feature output, the model enhanced the annotation accuracy and the detection precision for occluded rose flowers. …”
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Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber by Jiang Tang, Yongwen Tang, Kun He, Luluzi Lu, Di Zhang, Mengfan Cheng, Lei Deng, Deming Liu, Minming Zhang

“…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. The transfer function of a temporal ghost imaging system over a single optical fiber is derived, which is a function of the total fiber dispersion and the power density spectrum of the light source. …”
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A Multi-Category Defect Detection Model for Rail Fastener Based on Optimized YOLOv8n by Mei Chen, Maolin Zhang, Jun Peng, Jiabin Huang, Haitao Li

“…Currently, object detection-based rail fastener defect detection methods still face challenges such as limited detection categories, insufficient accuracy, and high computational complexity. …”
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Personnel localization method for low-visibility environments based on improved YOLOv3 by LU Xiaoya, LI Haifang

“…There was a substantial enhancement in overall lighting conditions and contrast, facilitating better differentiation between targets and backgrounds, thereby validating the effectiveness of the image enhancement techniques employed. ② The improved YOLOv3 accurately identified personnel in the video frames, with no instances of missed detections. ③ Using calibrated objects or manually annotated real three-dimensional positions as benchmarks, the deviation between the projected results and the actual positions was calculated (covering distance deviations in the X, Y, and Z directions). …”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…The framework incorporates deep learning-based object detection (YOLOv2) to identify target objects using a simulated RGB-D camera mounted on the manipulator’s end-effector. …”
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SSCD-YOLO: Semi-Supervised Cross-Domain YOLOv8 for Pedestrian Detection in Low-Light Conditions by Fangliang Cao, Kai Yan, Hongliang Chen, Zhen Wang, Yunliang Du, Zekang Zheng, Kefan Li, Baozhu Qi, Mingjia Wang

“…Additionally, a cross-domain distillation loss function is designed to improve the performance and efficiency of multi-scale object detection. …”
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