Optimization of train obstacle detection based on zone media controller unit by ZHOU Liming, HU Jiaqiao, SHEN Tuo

“…Second, in order to improve the algorithm’s real-time performance in detection, the model was enhanced with two acceleration strategies: asynchronous processing and hardware decoding based on activation functions. …”
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Detecting Defects in Sequential Inputs to Digital Twins Using Machine Learning by Nathaniel Brown, Steven Simske

“…This article presents a method for detecting defects in sequential data inputs for digital twins (DTs) during simulations, emphasizing the importance of input validation for ensuring the accuracy and reliability of the simulation results. …”
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Building Damage Visualization Through Three-Dimensional Reconstruction and Window Detection by Ittetsu Kuniyoshi, Itsuki Nagaike, Sachie Sato, Yue Bao

“…The proposed method utilizes a 3D scanner to capture point cloud data and images, which are processed to extract building surfaces, detect inclination, and assess secondary structural components such as window frames. …”
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Low-Illumination Parking Scenario Detection Based on Image Adaptive Enhancement by Xixi Xu, Meiqi Zhang, Hao Tang, Weiye Xu, Bowen Sun, Zhu’an Zheng

“…The algorithm comprises an image adaptive enhancement module, which predicts adaptive parameters using CNN and integrates the low-light image enhancement via illumination map estimation and contrast-limited adaptive histogram equalization algorithms for image processing. The parking space and obstacle detection module adopts parking space corner detection based on image gradient matching, as well as obstacle detection utilizing yolov5s, whose feature pyramid network structure is optimized. …”
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Photosynthetic light requirement near the theoretical minimum detected in Arctic microalgae by Clara J. M. Hoppe, Niels Fuchs, Dirk Notz, Philip Anderson, Philipp Assmy, Jørgen Berge, Gunnar Bratbak, Gaël Guillou, Alexandra Kraberg, Aud Larsen, Benoit Lebreton, Eva Leu, Magnus Lucassen, Oliver Müller, Laurent Oziel, Björn Rost, Bernhard Schartmüller, Anders Torstensson, Jonas Wloka

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Overheating Defect Detection of Composite Insulator Based on Mask R-CNN by Yi GAO, Lianfang TIAN, Qiliang DU

“…Aiming at the problems of large workload and low intelligence of the current infrared image-based overheating defect detection techniques for composite insulators, and the poor accuracy and poor generalization performance of the traditional image segmentation methods in complex backgrounds, an overheating defect detection method is proposed for composite insulators based on instance segmentation network Mask R-CNN. …”
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A multi-modal graph-based framework for Alzheimer’s disease detection by Najmeh Mashhadi, Razvan Marinescu

“…Abstract We propose a compositional graph-based Machine Learning (ML) framework for Alzheimer’s disease (AD) detection that constructs complex ML predictors from modular components. …”
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Pre-Trained Language Model Ensemble for Arabic Fake News Detection by Lama Al-Zahrani, Maha Al-Yahya

“…Fake news detection (FND) remains a challenge due to its vast and varied sources, especially on social media platforms. …”
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TARGE: large language model-powered explainable hate speech detection by Muhammad Haseeb Hashir, Memoona, Sung Won Kim

“…However, existing deep learning models for hate speech detection typically function as black-box systems, providing binary classifications without interpretable insights into their decision-making processes. …”
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A Review on Automated Detection and Identification Algorithms for Highway Pavement Distress by Zhenglong Lv, Zhexin Hao, Yuhan Zhu, Cong Lu

“…The global expansion of road networks and the aging of infrastructure have intensified the need for efficient pavement distress detection technologies to ensure road safety and sustainability. …”
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Auditory–tactile presentation accelerates target detection in a multitasking situation by Angelo G. Gaillet, Clara Suied, Gabriel Arnold, Marine Taffou

“…Yet, most of this work has been conducted in settings and with protocols within which participants had the sole detection task to perform. In realistic and complex environments, such as military ones, detection of critical information has to be performed while the operator is concurrently managing several others tasks and processing a vast amount of sensory inputs. …”
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Microscopically and Molecular Detection of Theileria Species in Sheep in Baghdad Province, Iraq by Azhar Faraj, Dhirar Assi

“…All samples were examined by microscopic examination, and 100 blood samples collected randomly from total 180 were molecular detection by using conventional PCR. The total infection rate of the microscopic infection was 33.33%(60/180). …”
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Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems by Fazliddin Makhmudov, Dusmurod Kilichev, Ulugbek Giyosov, Farkhod Akhmedov

“…Electric vehicle (EV) charging systems are now integral to smart grids, increasing the need for robust and scalable cyberattack detection. This study presents an online intrusion detection system that leverages an Adaptive Random Forest classifier with Adaptive Windowing drift detection to identify real-time and evolving threats in EV charging infrastructures. …”
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Spiking Residual ShuffleNet-Based Intrusion Detection in IoT Environment by Sneha Leela Jacob, H. Parveen Sultana

“…Therefore, intrusion detection systems (IDS) are essential for IoT systems to prevent attacks. …”
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Weed detection in cornfields based on improved lightweight neural network model by Haicheng Wan, Shanping Wang

“…Based on the original YOLOv4, an improved lightweight weed detection model, YOLOv4-weeds, is proposed. By changing the main YOLOv4 feature extraction network into MobileNetV3-Small, combined with the depthwise separable convolution and inverse residual structure, and introducing a lightweight attention mechanism, this model reduces the image processing memory size and improves detection efficiency. …”
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Knowledge Management in Road Accident Detection Based on Developed Deep Learning by Bvss Subbarao, Ramana K

“…Smartphone sensors can detect collisions. Few methods detect failures using cell phones. …”
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Detection of Graduation Potential in Prospective Students using the Random Forest Algorithm by Puguh Hasta Gunawan, Irving Vitra Paputungan

“…Detecting students’ graduation potential is commonly performed by evaluating various academic and non-academic factors. …”
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Bilinear Learning with Dual-Chain Feature Attention for Multimodal Rumor Detection by Zheheng Guo, Haonan Liu, Lijiao Zuo, Junhao Wen

“…This paper proposes a dual-chain multimodal feature learning framework for rumor detection to address these issues. The framework comprehensively extracts rumor content features through the following two parallel processes: a basic semantic feature extraction module that captures fundamental textual and visual semantics, and a logical connection feature learning module that models both the internal logical relationships within text and the cross-modal semantic alignment between text and images. …”
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DCWM-LSTM: A Novel Attack Detection Framework for Robotic Arms by Esra Nergis Yolacan, Hande Cavsi Zaim

“…By enhancing the security posture of robotic arms, our approach contributes to safeguarding critical infrastructure and ensuring the continued reliability and safety of automated processes in diverse industrial settings.…”
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Using topic modeling to detect cellular crosstalk in scRNA-seq. by Alexandrina Pancheva, Helen Wheadon, Simon Rogers, Thomas D Otto

“…Cell-cell interactions are vital for numerous biological processes including development, differentiation, and response to inflammation. …”
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