Effects of Clozapine, Haloperidol, and the NMDA Antagonist Ketamine on Novel Object Recognition in <i>Gnathonemus petersii</i>: A New Possible Model for Schizophrenia Research by Petra Horká, Josefina Mavrogeni, Veronika Langová, Pavel Horký, Jan Hubený, Ivana Chrtková, Karel Valeš, Martin Kuchař, Jiří Horáček

“…In the present study, we evaluated the behavioral responses and the number of EODs (electric organ discharges) of the weakly electric fish <i>Gnathonemus petersii</i> using the novel object recognition task (NORT). We aimed to investigate whether pharmacological modulation of the glutamatergic system would impair cognitive functions by administering the NMDA receptor antagonist ketamine, and whether these impairments could be suppressed by the administration of typical (first-generation) and atypical (second-generation) antipsychotics—clozapine and haloperidol, respectively. …”
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Safety-Ensured Robotic Control Framework for Cutting Task Automation in Endoscopic Submucosal Dissection by Yitaek Kim, Inigo Iturrate, Christoffer Sloth, Hansoul Kim

“…However, previous studies have primarily focused on detecting and analyzing objects or robots, with limited attention to ensuring safety, which is critical for clinical applications, where accidents can be caused by unsafe robot motions. …”
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Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…One-stage detection models are currently state-of-the-art in object detection due to their faster detection times. …”
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Research and Design of an Airfield Runway FOD Detection System Based on WSN by Li Ang

“…This paper introduces a designed method of airport runway FOD detection system based on WSN, analyzes function of various image acquisition sensors, and introduces FOD image analysis algorithm. …”
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Advancing construction safety: YOLOv8-CGS helmet detection model. by Zhihui Wu, Xiaojia Lei, Munish Kumar

“…In the context of construction site safety management, real-time object detection is crucial for ensuring workers' safety through accurate detection of safety helmets. …”
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A recent survey on instance-dependent positive and unlabeled learning by Chen Gong, Muhammad Imran Zulfiqar, Chuang Zhang, Shahid Mahmood, Jian Yang

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Experimental Validation of UAV Search and Detection System in Real Wilderness Environment by Stella Dumenčić, Luka Lanča, Karlo Jakac, Stefan Ivić

“…The UAVs are directed using the Heat equation-driven area coverage (HEDAC) ergodic control method based on known probability density and detection function. The sensing framework consists of a probabilistic search model, motion control system, and object detection enabling to calculate the target’s detection probability. …”
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LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

“…A novel SEAM attention module is proposed to refine the features that represent both the spatial and channel information by leveraging the features from the Simple Attention Module (SimAM) and Efficient Channel Attention (ECA) mechanism. The HSM-EIoU loss function is also proposed to accurately detect a small traffic light by amplifying the loss for hard-sample objects. …”
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Realizing depth measurement and edge detection based on a single metasurface by Yang Siwen, Wei Qunshuo, Zhao Ruizhe, Li Xin, Zhang Xue, Li Yao, Li Junjie, Jing Xiaoli, Li Xiaowei, Wang Yongtian, Huang Lingling

“…Double helix point source function is utilized, and three verification experiments are carried out, including double-helix beam calibration, 2D object and 3D object detection, respectively. …”
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An Investigation of Infrared Small Target Detection by Using the SPT–YOLO Technique by Yongjun Qi, Shaohua Yang, Zhengzheng Jia, Yuanmeng Song, Jie Zhu, Xin Liu, Hongxing Zheng

“…Some experiments on datasets such as infrared small object detection (IR-SOD) and infrared small target detection 1K(IRSTD-1K), etc. have been executed to verify the proposed algorithm; and the mean average precision of 94.0% and 69% under the condition of threshold at 0.5 and over a range from 0.5 to 0.95 is obtained, respectively. …”
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Multi-Target Detection Algorithm for Fusion Images Based on an Attention Mechanism by Zhenge Qu, Zhuoning Dong, Yuxin Guo, Hui Ren, Hongyang Fu

“…Specifically, we improve the YOLOv8 baseline model by introducing a dedicated small-object detection layer, incorporating the Global Attention Mechanism (GAM), and refining the loss function. …”
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Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network by Liming Li, Shubin Zheng, Chenxi Wang, Shuguang Zhao, Xiaodong Chai, Lele Peng, Qianqian Tong, Ji Wang

“…Results show that this method can accurately detect the sleeper crack image. During object detection, the proposed method is compared with YOLOv3 in terms of directly locating sleeper cracks. …”
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RipFinder: real-time rip current detection on mobile devices by Fahim Khan, Akila de Silva, Ashleigh Palinkas, Gregory Dusek, James Davis, Alex Pang

“…The amorphous and ephemeral nature of rip currents makes it challenging to detect them with high accuracy using object detection models. …”
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YOLO-ALW: An Enhanced High-Precision Model for Chili Maturity Detection by Yi Wang, Cheng Ouyang, Hao Peng, Jingtao Deng, Lin Yang, Hailin Chen, Yahui Luo, Ping Jiang

“…This study presents an enhanced YOLOv8n-based object detection model, YOLO-ALW, designed to address these challenges. …”
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YOLO-SAATD: An efficient SAR airport and aircraft target detector by Daobin Ma, Zhanhong Lu, Zixuan Dai, Yangyue Wei, Li Yang, Haimiao Hu, Wenqiao Zhang, Dongping Zhang

“…While object detection performs well in natural images, it faces challenges in Synthetic Aperture Radar (SAR) images for detecting airports and aircraft due to discrete scattering points, complex backgrounds, and multi-scale targets. …”
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Improving dependability with low power fault detection model for skinny-hash. by Sonal Arvind Barge, Gerardine Immaculate Mary

“…Functional behaviour is tested using ModelSim SE-64. …”
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Mycotoxins in Ready-to-Eat Foods: Regulatory Challenges and Modern Detection Methods by Eleonora Di Salvo, Giovanni Bartolomeo, Rossella Vadalà, Rosaria Costa, Nicola Cicero

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Detection of Falls and Frailty in Older Adults with Oldfry: Associated Risk Factors by Eva Martí-Marco, Enrique J. Vera-Remartínez, Aurora Esteve-Clavero, Irene Carmona-Fortuño, Martín Flores-Saldaña, Jorge Vila-Pascual, Malena Barba-Muñoz, María Pilar Molés-Julio

“…Women showed greater functional dependence (Barthel scale) and cognitive impairment (Pfeiffer scale). …”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…The model then produces bounding boxes that accurately delineate the location of these events within the image. Several object detection algorithms (i.e., Faster R-CNN, YOLOv4, and YOLOX) and multiple backbone CNN architectures were evaluated under a wide range of conditions, revealing their true representative performance. …”
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Toward Optimal Placement of Spatial Sensors to Detect Poisson-Distributed Targets by Mingyu Kim, Harun Yetkin, Daniel J. Stilwell, Jorge Jimenez, Saurav Shrestha, Nina Stark

“…We also characterize the gap between the desired objective function and our approximation. For numerical illustrations, we consider the case of the detection of ship traffic using sensors mounted on the seafloor.…”
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