AI-Based Ransomware Detection: A Comprehensive Review by Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi, Md Zahidul Islam

“…By synthesizing these findings, we identify gaps in the current research and suggest future directions for enhancing AI-based ransomware detection techniques. The insights provided aim to guide researchers and practitioners in developing more robust methods for detecting and mitigating ransomware attacks by using AI.…”
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Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Nevertheless, ongoing improvements in imaging hardware and ML methodologies hold significant promise for establishing more effective, automated, and accurate strategies for microplastic detection. By providing a comprehensive overview of current technologies and future opportunities, this review aims to guide researchers and stakeholders in developing science-based solutions for mitigating the global threat of microplastic pollution.…”
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Early detection of sonographic factors for promotion of healthy pregnancy by Rachna Chaurasia, Tushar Agarwal

“…Background: Ultrasonography has revolutionized obstetric care over the past four decades by providing critical information about early pregnancy development and complications. This study focuses on evaluating the role of ultrasound (USG) in detecting embryonic demise and fetal anomalies in early part of pregnancy before targeted imaging for fetal anomalies scan. …”
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Image Processing for Laser Impact Detection in Shooting Simulators by José Antonio García Torres, Daniel Guzmán Pérez, Jhon Fredy Rincón Morantes, Daniel Felipe Molina Martínez, Cristian Camilo García Rodríguez, Jhonnatan Eduardo Zamudio Palacios

“…Moreover, wired setups limit their use in outdoor environments due to the lack of access to a power source. This study developed an image-processing-based method to replace live ammunition with a laser-emitting device. …”
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DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum by Kun Jiang, Kexiao Peng, Yuan Feng, Xia Guo, Zuping Tang

“…To this end, this study presents a signal detection model named deformable feature-enhanced network–You Only Look Once (DFN-YOLO), specifically designed for blind signal detection in broadband scenarios. …”
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Deviance detection and regularity sensitivity in dissociated neuronal cultures by Zhuo Zhang, Amit Yaron, Dai Akita, Tomoyo Isoguchi Shiramatsu, Zenas C. Chao, Hirokazu Takahashi, Hirokazu Takahashi

“…To assess regularity sensitivity, we compared neural responses between predictable periodic sequences and random sequences of stimuli.ResultsIn oddball electrical stimulation paradigms, we confirmed that the neuronal culture produced mismatch responses (MMRs) with true deviance detection beyond mere adaptation. These MMRs were dependent on the N-methyl-D-aspartate (NMDA) receptors, similar to mismatch negativity (MMN) in humans, which is known to have true deviance detection properties. …”
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Deep learning for automated encrustation detection in sewer inspection by Wasiu Yusuf, Hafiz Alaka, Mubashir Ahmad, Wusu Godoyon, Saheed Ajayi, Luqman Olalekan Toriola-Coker, Abdullahi Ahmed

“…Our work marks the first effort to develop models specifically for detecting encrustation using deep learning techniques, as previous studies have focused on other types of deposits such as settled and attached deposits. …”
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Optimised nanobody-based quenchbodies for enhanced protein detection by Jordan H. Cater, Nehad S. El Salamouni, Ghada H. Mansour, Sebastian Hutchinson, Conall Mc Guinness, Stefan H. Mueller, Richard R. Spinks, Nirukshan Shanmugam, Adeline Pichard-Kostuch, Viktor Zahoransky, Harshad Ghodke, Marco Ribezzi-Crivellari, Haibo Yu, Antoine M. van Oijen, Andrew D. Griffiths, Lisanne M. Spenkelink

“…This yielded quenchbodies with 1.5–2.4-fold fluorescence increases, enabling IL-6 detection down to 1–2 nM. Our scaffold provides a valuable platform for developing biosensors for diverse protein targets, with applications in research, diagnostics, and environmental monitoring.…”
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Web Traffic Anomaly Detection Using Isolation Forest by Wilson Chua, Arsenn Lorette Diamond Pajas, Crizelle Shane Castro, Sean Patrick Panganiban, April Joy Pasuquin, Merwin Jan Purganan, Rica Malupeng, Divine Jessa Pingad, John Paul Orolfo, Haron Hakeen Lua, Lemuel Clark Velasco

“…By appropriate data preparation, model development, model implementation, and model evaluation, this study shows that Isolation Forest can be a viable solution for close to accurate web traffic anomaly detection.…”
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Comparison of survey techniques on detection of northern flying squirrels by Corinne A. Diggins, L. Michelle Gilley, Christine A. Kelly, W. Mark Ford

“…We compared techniques by assessing probability of detection (POD), latency to detection (LTD; i.e., no. of survey nights until initial detection), and survey effort. …”
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Establishment of a Sandwich ELISA for Detection of Pan-Merbecoviruses by Kaixin Li, Misa Katayama, Ayano Ichikawa, Hiromichi Matsugo, Yuta Wakabayashi, Akiko Takenaka-Uema, Wataru Sekine, Taisuke Horimoto, Shin Murakami

“…Given the unpredictable emergence of these viruses and their genetic diversity, development of broad-spectrum diagnostic tools is expected. …”
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Using Artificial Intelligence Techniques For Intrusion Detection System by Manar Ahmed, Bayda Khaleel

“…Such that network intrusion classification and detection systems to prevent unlawful accesses. This work has taken the advantage of classification and detection abilities of Artificial Intelligent Techniques AITs algorithms to recognize intrusion(attack) and also detect new attacks. …”
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Establishment of an indirect ELISA method for detection of human cytomegalovirus by LI Xu, WANG Shan, HUANG Huan, WANG Bin, QIAN Dongmeng

“…Objective To establish an indirect ELISA method for the detection of human cytomegalovirus (HCMV) based on HCMV IE1/pp65/pp150 recombinant protein. …”
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MACHINE LEARNING TECHNIQUES FOR RETINOPATHY DETECTION IN DIABETIC PATIENTS by Ajay Kushwaha, Ahankari Sachin Suresh, Chennoju Phanindra, Anil Kumar Sahu, Devanand Bhonsle, Yamini Chouhan

“…In this paper, we explore the development and application of an automated image analysis technique for detecting retinopathies in diabetic patients. …”
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Mitigating Antibiotic Resistance: The Utilization of CRISPR Technology in Detection by Xuejiao Zhang, Zhaojie Huang, Yanxia Zhang, Wen Wang, Zihong Ye, Pei Liang, Kai Sun, Wencheng Kang, Qiao Tang, Xiaoping Yu

“…Thus, the creation of efficient methods for detecting resistance genes and antibiotics is imperative for ensuring food safety and safeguarding human health. …”
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Trauma diagnostic-related target proteins and their detection techniques by YiLiu Wei, Xiaohan Ren, Zhitao Yuan, Jie Hong, Tao Wang, Weizhi Chen, Yuqing Xu, Jinwang Ding, Jun Lin, Wenqian Jiang, Peng Zhang, Qiaoyi Wu

“…It plays a crucial role in identifying key protein targets associated with specific diseases or biological processes, facilitating further research, drug design and the development of treatment strategies. The application of target protein technology in biomarker detection enables the timely identification of newly emerging infections and complications in trauma patients, facilitating expeditious medical interventions and leading to reduced post-trauma mortality rates and improved patient prognoses. …”
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Optimising Wastewater Sample Processing for Multiple Pathogen Detection by Miss Shannon Fitz, Debora Akortia, Richard Larbi, Richard Owusu, Gifty Nkrumah, Dr Joyce Akello, Catherine Troman, Dr Jaspreet Mahindroo, Dr Anton Spader, Dr Ben Bellekom, Piya Rajendra, Professor Yaw Adu-Sarkodie, Dr Ellis Owusu-Dabo, Dr Nicholas Grassly, Dr Dilip Abraham, Professor Venkata Raghava Mohan, Dr Michael Owusu, Dr Alex Shaw

“…Further analysis will allow comparison of the sensitivity of grab and Moore swab for detecting both viruses and bacteria. Expected Outcome: This study aims to provide proof of principle data for cost effective surveillance of multiple pathogens in LMICs with the development of streamlined, integrated protocols. …”
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Virtual reality navigation for the early detection of Alzheimer’s disease by Sayuri Shima, Reiko Ohdake, Yasuaki Mizutani, Harutsugu Tatebe, Riki Koike, Atsushi Kasai, Epifanio Bagarinao, Epifanio Bagarinao, Kazuya Kawabata, Kazuya Kawabata, Akihiro Ueda, Mizuki Ito, Junichi Hata, Shinsuke Ishigaki, Junichiro Yoshimoto, Hiroshi Toyama, Takahiko Tokuda, Akihiko Takashima, Hirohisa Watanabe, Hirohisa Watanabe

“…ObjectiveThe development of non-invasive clinical diagnostics is paramount for the early detection of Alzheimer’s disease (AD). …”
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Detection of pediatric developmental delay with machine learning technologies. by Shin-Bo Chen, Chi-Hung Huang, Sheng-Chin Weng, Yen-Jen Oyang

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Measurement-induced entanglement entropy of gravitational wave detections by Preston Jones, Quentin G. Bailey, Andri Gretarsson, Edward Poon

“…The calculation of normalized measurement-induced entanglement entropy demonstrates the potential of developing physically meaningful signatures of non-classicality based on bipartite detections of gravitational radiation. …”
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