Detection of Phantom Reads in Hyperledger Fabric by Luca Olivieri, Luca Negrini, Vincenzo Arceri, Badaruddin Chachar, Pietro Ferrara, Agostino Cortesi

“…In this paper, we explore the phantom reads detection problem at the smart contract level and demonstrate how a verification approach through formal methods can identify possible bottlenecks caused by phantom reads and mitigate range query risks, outperforming the current state-of-the-art and state-of-the-practice for their detection. …”
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Age of Information-Optimized Differential Protection Strategy for Smart Grids by Jiajia Fu, Zhongmiao Kang, Ying Zeng, Zanhong Wu

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SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…Detecting tiny objects in high-resolution images is essential for real-time applications such as autonomous navigation and surveillance but is challenging due to the computational complexity of processing large images while maintaining the speed needed for timely decision-making. …”
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Multi-Scale Crack Detection and Quantification of Concrete Bridges Based on Aerial Photography and Improved Object Detection Network by Liming Zhou, Haowen Jia, Shang Jiang, Fei Xu, Hao Tang, Chao Xiang, Guoqing Wang, Hemin Zheng, Lingkun Chen

“…An intelligent crack detection method for bridge surface damage based on Unmanned Aerial Vehicles (UAVs) is proposed for these challenges, incorporating a three-stage detection, quantification, and visualization process. …”
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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…However, based on technological and operational limitations, the rate of metre reading is too low in many countries, which can affect detection performance. To investigate the effect of sampling frequency on the performance of detection methods, we designed a processing framework to evaluate different classification algorithms on versions of a challenging dataset obtained by down‐sampling the original data at various rates. …”
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Detection of Cola beverage by electronic nose by LU Xiao-li, HAI Zheng, WANG Jun

“…Three means of pretreatment: detected directly by electronic nose, processed by the enrichment and desorption unit (EDU) or processed by Na₂CO₃ as desiccant were adopted to detect Coca cola, pepsi cola and future cola by electronic nose. …”
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The Multiplexed Device for Hoffmann Reflex Detection by Abayomi Folaranmi, JungHun Choi

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Cloud Detection Challenge-Methods and Results by Alessio Barbaro Chisari, Luca Guarnera, Alessandro Ortis, Wladimiro Carlo Patatu, Bruno Casella, Luca Naso, Giuseppe Puglisi, Vincenzo del Zoppo, Mario Valerio Giuffrida, Sebastiano Battiato

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DETECTION OF SPEECH IN REAL-TIME SIGNAL by D. A. Barysevich, H. V. Davydau, V. A. Papou

“…Information parameters of the speech signals, allowing to allocate sites of processed information with speech signals in real time, is considered. …”
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Matrix profile for DDoS attacks detection by Faisal Alotaibi, Alexei Lisitsa

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Object detection in the police surveillance scenario by Artur Wilkowski, Włodzimierz Kasprzak, Maciej Stefańczyk

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Data Mining-Based Phishing Detection by Jan Bohacik, Ivan Skula, Michal Zabovsky

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Detection of Arrhythmia using Neural Network by Saumendra Kumar Mohapatra, Hemanta Kumar Palo, Mihir Narayan Mohanty

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Detection of the permutation symmetry in pattern sets by Dong Ji-Yang, Zhang Jun-Ying

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Eye Detection using Helmholtz Principle by Ahmed et al.

“…Java programming language and OpenCV library for image processing are used for this purpose. Good results are obtained from this proposed method, where 88.89% was obtained as a detection rate taking into account that the average execution time is about 0.23 in seconds.…”
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On Risk Assessment for Out-of-Distribution Detection by Anton Vasiliuk

“…First, we show that OOD performance depends on both the rate of outliers and the number of samples processed by a machine learning (ML) model. Second, we introduce a novel perspective that assesses OOD risk by considering the expected maximum risk within a limited sample size. …”
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Detection of Arabic and Algerian Fake News by Hamadouche Khaoula, Bousmaha Kheira Zineb, Amar Mohamed Yasine Bahi, Hadrich-Belguith Lamia

“…Misinformation, deliberately fabricated or misleading content presented as factual news, poses significant threats to public discourse, trust, and decision-making processes. The research highlights the significance of fake news detection in the Arabic language, with a specific focus on the Algerian dialect. …”
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Microarray Core Detection by Geometric Restoration by Jimmy C. Azar, Christer Busch, Ingrid B. Carlbom

“…This demands high-throughput image processing to enable analysis of these tissue samples for diagnosis of cancer and other conditions. …”
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Detection Determinants of Bank Sustainability Report by Fadilla Aprilia, Siti Kustinah

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Detection of Incipient Pulp Screen Plugging by Parsa Aryanpour, Robert W. Gooding, James A. Olson

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