A BigBiGAN-Based Loop Closure Detection Algorithm for Indoor Visual SLAM by Qiubo Zhong, Xiaoyi Fang

“…Loop closure detection serves as the fulcrum of improving the accuracy and precision in simultaneous localization and mapping (SLAM). …”
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VRU-YOLO: A Small Object Detection Algorithm for Vulnerable Road Users in Complex Scenes by Yunxiang Liu, Yuqing Shi

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Vehicle Detection for Vision-Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm by Othman O. Khalifa, Muhammad H. Wajdi, Rashid A. Saeed, Aisha H. A. Hashim, Muhammed Z. Ahmed, Elmustafa Sayed Ali

“…Vehicle detection in Intelligent Transportation Systems (ITS) is a key factor ensuring road safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection, incident detection, and vehicle speed estimation. …”
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Extended IMD2020: a large‐scale annotated dataset tailored for detecting manipulated images by Adam Novozámský, Babak Mahdian, Stanislav Saic

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Establishment of a rapid and quantitative method for detecting the range of infection exposure in preclinical dental education by Ayaka Ueda, Yuki Shinoda-Ito, Kazu Takeuchi-Hatanaka, Takashi Ito, Shintaro Ono, Kimito Hirai, Kazuhiro Omori, Tadashi Yamamoto, Shogo Takashiba

“…Thus, the rapid and inexpensive detection system to detect and measure dental practice-related infection spread during preclinical treatment is highly desired for dental education. …”
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Detection and Phylogenetic Analysis of Alphacoronaviruses in Bat Populations of Rostov and Novosibirsk Regions of Russia, 2021–2023 by Olesia V. Ohlopkova, Igor V. Popov, Ilia V. Popov, Kristina A. Stolbunova, Marina A. Stepanyuk, Alexey D. Moshkin, Aleksei A. Maslov, Ivan A. Sobolev, Aleksey V. Malinovkin, Elizaveta V. Tkacheva, Daria A. Bogdanova, Ekaterina A. Lukbanova, Alexey M. Ermakov, Alexander Y. Alekseev, Svetoslav D. Todorov, Alexander M. Shestopalov

“…Phylogenetic analysis of detected sequences revealed the presence of three subgenera: <i>Pedacovirus</i>, <i>Myotacovirus</i>, and <i>Nyctacovirus</i>. …”
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Robust Mean Change-Point Detecting through Laplace Linear Regression Using EM Algorithm by Fengkai Yang

“…Finally, we applied our method to the classical Holbert data and detected a change-point.…”
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Challenges in detecting wind turbine power loss: the effects of blade erosion, turbulence, and time averaging by T. H. Malik, C. Bak

“…The study does not aim to investigate each contributing factor in detail but seeks to provide insights through selected examples, thereby illustrating how these conditions hinder the detection of blade erosion’s effects on power loss. …”
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Razvoj sistema za vođenje projektila preko optičkog vlakna, International Defense Review, 1990 by M.P.

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A Computational Design Analysis of UAV’s Rotor Blade in Low-Temperature Conditions for the Defence Applications by Sreenadh Chevula, Sankeerth Chillamcharal, Satya Prasad Maddula

“…This paper discusses about the critical situations faced by the Defence operations with drones in the area of Siachen Glacier in the Himalayas. …”
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A Sparse Feature-Based Mixed Signal Frequencies Detecting for Unmanned Aerial Vehicle Communications by Yang Wang, Yongxin Feng, Fan Zhou, Xi Chen, Jian Wang, Peiying Zhang

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Integration of innovation development and implementation processes in defence industry according to a demand — supply format by A. I. Shinkevich, D. V. Kharitonov

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The system of entities providing territorial defence of Ukraine and the role of local self-government bodies within it by I. V. Romanskyi

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Diphtheria case detection and carrier study of close contacts: A step towards diphtheria eradication by Shilpa R. Shah, Nisha C. Karanje

“…Isolates were confirmed by PCR and ToxA gene was detected. Contacts were treated with Penicillin and repeat swabs were negative. …”
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Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability by Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin

“…Traditional false data injection attacks (FDIAs) detectors are inadequate in addressing cyberattacks on voltage regulation since a) they overlook such attacks within power grids and b) primarily rely on static thresholds and simple anomaly detection techniques, which cannot capture the complex interplay between voltage stability, cyberattacks, and defensive actions. …”
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Invisible Scout: A Layer 2 Anomaly System for Detecting Rogue Access Point (RAP) by Diki Arisandi, Nazrul M. Ahmad, Subarmaniam Kannan

“…This study aimed to develop and validate a mechanism capable of accurately detecting RAPs in controlled setups, real-world environments, and under de-authentication attack scenarios. …”
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Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection by Sai Babu Veesam, Aravapalli Rama Satish, Sreenivasulu Tupakula, Yuvaraju Chinnam, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque

Subjects: “…Anomaly detection…”
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Comparative evaluation of SNVs, indels, and structural variations detected with short- and long-read sequencing data by Shunichi Kosugi, Chikashi Terao

“…The results showed that indel-insertion calls greater than 10 bp were poorly detected by short-read-based detection algorithms compared to long-read-based algorithms; however, the recall and precision of SNV and indel-deletion detection were similar between short- and long-read data. …”
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Enhance the Probability of Detection of Cooperative Spectrum Sensing in Cognitive Radio Networks Using Blockchain Technology by D. Balakumar, Nandakumar Sendrayan

“…According to simulation studies, the suggested topology can increase the likelihood of MU detection by roughly 15% when 40% of system users are malicious.…”
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Corrigendum to “Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network” by Vu Viet Thang, F. F. Pashchenko

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