Dolphin-Inspired Target Detection for Sonar and Radar by Timothy Grant LEIGHTON, Paul Robert WHITE

“…However one biological process that produces particularly dense clouds of large bubbles, is bubble netting. …”
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Negative Selection Algorithm for Unsupervised Anomaly Detection by Michał Bereta

“…In this work, we present a modification of the well-known Negative Selection Algorithm (NSA), inspired by the process of T-cell generation in the immune system. …”
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DETECTION AND MONITORING SYSTEM ON THE PACKAGE RECEIVING BOX by Duta Widhya Sasmojo, Wisnu Broto, Doni Chesa Renaldi

“…The detection and monitoring system for goods on the box can work well.…”
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Reduction of Vision-Based Models for Fall Detection by Asier Garmendia-Orbegozo, Miguel Angel Anton, Jose David Nuñez-Gonzalez

“…The complexity of the models used to process the input data and detect these activities makes them almost impossible to complete on devices with limited resources, which are the ones that could offer an immediate response avoiding unnecessary communications between sensors and centralized computing centers. …”
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Current Approaches to Microplastics Detection and Plastic Biodegradation by Paula Przygoda-Kuś, Katarzyna E. Kosiorowska, Aneta K. Urbanek, Aleksandra M. Mirończuk

“…In this review, we summarize the latest advances in techniques for detecting biodegradation of synthetic polymers and future directions in the development of sustainable strategies for mitigating plastic pollution.…”
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Endoscopic Detection of Gastric Metastases in Skin Melanoma by M. Yu. Kabanov, K. V. Sementsov, D. B. Degterev, M. Ya. Belikova, D. K. Savchenkov, T. E. Koshelev, A. K. Stechishina

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Audio Deepfake Detection Using Deep Learning by Ousama A. Shaaban, Remzi Yildirim

“…The self‐attention modules are trained in a layered way alongside these fundamental layers to detect multi‐headed attention within audio frames. …”
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Stochastic List Generator for Iterative MIMO Detection by Stephen N. Jenkins, Behrouz Farhang-Boroujeny

“…., without the benefit of any a priori knowledge, and used throughout the iterative detection process. The second method, called update list stochastic list generator (UL-SLG), updates the list after each iteration using the a priori information provided by the channel decoder. …”
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Detecting Malware Based on DNS Graph Mining by Futai Zou, Siyu Zhang, Weixiong Rao, Ping Yi

“…In this paper, we propose a DNS graph mining-based malware detection approach. A DNS graph is composed of DNS nodes, which represent server IPs, client IPs, and queried domain names in the process of DNS resolution. …”
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Automating hock wound detection in dairy cattle by W. Flanders, P.S. Basran, M. Wieland

“…Automating the detection process can reduce observer bias, improve consistency, and allow for continuous monitoring of large herds. …”
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Machine Learning Based Classification for Spam Detection by Onur Sevli, Serkan Keskin

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Self-Supervised Feature Disentanglement for Deepfake Detection by Bo Yan, Pan Liu, Yumin Yang, Yanming Guo

“…Existing deepfake detection methods heavily rely on specific training data distributions and struggle to generalize to unknown forgery techniques. …”
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Multi-Granularity User Anomalous Behavior Detection by Wenying Feng, Yu Cao, Yilu Chen, Ye Wang, Ning Hu, Yan Jia, Zhaoquan Gu

“…The coarse-grained module screens all of the user activities to identify potential anomalies, while the fine-grained module focuses on specific anomalous users to refine the detection process. Besides, MG-UABD employs a combination of oversampling and undersampling techniques to address the imbalance in the datasets, ensuring robust model performance. …”
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Detecting tax evasion in the hospitality and tourism sector by Andrei Dumitriu, Veronica Grosu, Cristina Gabriela Cosmulese

“…Despite promises that digitalization will reduce tax evasion, this practice nevertheless is a serious threat to the economy and the state. This study aims to process a comprehensive model for screening and risk assessment of tax fraud in the HoReCa sector in Romania. …”
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BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…Abstract The rising complexity of cyberattacks poses significant challenges to traditional intrusion detection system (IDS). Approaches that rely mainly on feature engineering and rule matching often fail to address new and complex attack patterns effectively. …”
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Aptamer-based biosensors for biogenic amines detection by Min Yang, Yushi Xie, Longjiao Zhu, Ran Wang, Jie Zheng, Wentao Xu

“…On this basis, we focus on the latest progress in the field of aptamer sensor technology for BAs detection in food and divide these technologies into four categories according to the detection principle: colorimetric analysis, fluorescence detection, surface-enhanced Raman spectroscopy (SERS) analysis and electrochemical detection. …”
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ResnetCPS for Power Equipment and Defect Detection by Xingyu Yan, Lixin Jia, Xiao Liao, Wei Cui, Shuangsi Xue, Dapeng Yan, Hui Cao

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Detecting and reducing heterogeneity of error in acoustic classification by Oliver C. Metcalf, Jos Barlow, Yves Bas, Erika Berenguer, Christian Devenish, Filipe França, Stuart Marsden, Charlotte Smith, Alexander C. Lees

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Gated Nanosensor for Sulphate-Reducing Bacteria Detection by Alba López-Palacios, Ángela Morellá-Aucejo, Yolanda Moreno, Román Ponz-Carcelén, María Pedro-Monzonís, M. Dolores Marcos, Andrea Bernardos, Félix Sancenón, Elena Aznar, Ramón Martínez-Máñez, Andy Hernández-Montoto

“…For that reason, rapid and accurate detection methods of SRB are needed. In this work, a new detection system for <i>Desulfovibrio</i> has been developed using gated nanoporous materials. …”
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Real-Time Radar Classification Based on Software-Defined Radio Platforms: Enhancing Processing Speed and Accuracy with Graphics Processing Unit Acceleration by Seckin Oncu, Mehmet Karakaya, Yaser Dalveren, Ali Kara, Mohammad Derawi

“…This advancement complements the role of radar signal parameters, encapsulated in the pulse description words (PDWs), which play a pivotal role in electronic support measure (ESM) systems, enabling the detection and classification of threat radars. This study proposes an SDR-based radar classification system that achieves real-time operation with enhanced processing speed. …”
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