Transformer-Based Vulnerability Detection in IoT Firmware Binaries Using Opcode Sequences by M. Nandish, Jalesh Kumar, H. G. Mohan, M. V. Manoj Kumar

“…In the proposed approach, the Decoding-enhanced BERT with Disentangled Attention (DeBERTa), a novel transformer-based model is used to detect vulnerabilities in firmware binaries. Initially, firmware binaries are disassembled to extract opcode sequences, which are then tokenized and encoded as inputs to the proposed DeBERTa model. …”
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Photoacoustic polydopamine-indocyanine green (PDA-ICG) nanoprobe for detection of senescent cells by Muhamad Hartono, Andrew G. Baker, Thomas R. Else, Alexander S. Evtushenko, Sarah E. Bohndiek, Daniel Muñoz-Espín, Ljiljana Fruk

“…However, effective detection of senescent cells is limited by lack of biomarkers and readout strategies suitable for in vivo clinical imaging. …”
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XAIHO: explainable AI leveraging hybrid optimized framework for liver cirrhosis detection by Prashant Kumar Mishra, Brijesh Kumar Chaurasia, Man Mohan Shukla

“…Abstract This study introduces an explainable AI leveraging hybrid optimized framework for liver cirrhosis detection (XAIHO) with deep learning (DL) to address the critical challenges of low interpretability and diagnostic inefficiency in traditional and AI-driven liver cirrhosis detection systems. …”
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Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance by Firgiawan Faira, Dandy Pramana Hostiadi

“…This research focuses on detecting Bot-IoT activity using the Bot-IoT UNSW Canberra 2018 dataset. …”
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Harnessing self-supervised learning to boost malicious traffic detection with enhanced attention by SUN Jianwen, ZHANG Bin, LI Hongyu, CHANG Heyu

“…The existing deep learning-based malicious traffic detection methods generally suffered from three main problems: labeled sample scarcity, inadequate representation of malicious behavior traffic features, and a high false positive rate due to ineffective integration of behavioral association patterns during detection. …”
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Rail squat detection using hybrid processing of axle box acceleration measurements by Reza Naseri, Brennan L. Gedney, Hossein Asgari, Dimitrios C. Rizos

“…This study introduces a squat detection method that identifies the location and a proxy of the size of squats along a track using Axle Box Acceleration (ABA) measurements collected from in-service trains. …”
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Early Detection of Krukenberg Tumors Utilizing ctDNA Testing and CEA Monitoring by Angela M. DeRidder, Corrine M. Check, Paul R. Kunk, Christina Martin

“…Krukenberg tumors are rare cancers involving metastatic disease in the ovaries but classically originate from gastrointestinal malignancies, and often present diagnostic challenges due to their nonspecific symptoms and advanced stage at detection. Traditional imaging techniques like ultrasound, CT, and MRI are common methods of cancer monitoring but are limited in detecting micrometastatic disease and early-stage metastases. …”
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Research on downhole drilling target detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

“…The multicore initiator module C2f_PKI is employed to replace C2f as the Backbone network to accelerate target detection and reduce model complexity. …”
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Advanced strategies for detecting acid sphingomyelinase deficiency type B with attenuated phenotypes by Thomas Villeneuve, Thibaut Jamme, Robin Schwob, Thierry Levade, Grégoire Prévot

“…Due to its low prevalence and clinical heterogeneity, diagnosis is challenging, and detection is crucial for the initiation of enzyme replacement therapy. …”
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Deepfake Detection Method Integrating Multiple Parameter-Efficient Fine-Tuning Techniques by ZHANG Yiwen, CAI Manchun, CHEN Yonghao, ZHU Yi, YAO Lifeng

“…Consequently, the significance of deepfake detection technology has grown markedly. Existing methods for deepfake detection commonly suffer from issues including poor cross-compression robustness, weak cross-dataset generalization, and high model training overheads. …”
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An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

“…Therefore, this study develops a novel framework for accurate fire detection, especially in challenging environments, focusing on two distinct phases: preprocessing and model initializing. …”
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Electrochemical Detection of Histamine in Red Wine Using CB[7] Modified Electrodes by Andisiwe Ngwekazi, Christopher Arendse, Priscilla Baker

“…An electrochemical sensor for the detection of biogenic amines was developed by immobilizing CB[7] at the surface of a glassy carbon electrode (GCE). …”
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Novel transfer learning based bone fracture detection using radiographic images by Aneeza Alam, Ahmad Sami Al-Shamayleh, Nisrean Thalji, Ali Raza, Edgar Anibal Morales Barajas, Ernesto Bautista Thompson, Isabel de la Torre Diez, Imran Ashraf

“…The proposed study can improve the detection of bone fractures using X-ray images.…”
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Detection System Design and Implementation for Foreign Objects in Automatic Platform Door Gap by YU Qingguang, WANG Shi, GAO Bonan, CHEN Yuxuan, XIAO Chengbo, LIU Youqi, WANG Yujin, ZHAO Ming, LI Le, CAI Guanzhi

“…In the event of foreign object detection in door gap, the system triggers an alarm-video synergistic operation and initiates video capture of the incident site immediately. …”
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A Multi-Domain Feature Fusion CNN for Myocardial Infarction Detection and Localization by Yunfan Chen, Jinxing Ye, Yuting Li, Zhe Luo, Jieqiang Luo, Xiangkui Wan

“…To address this, we propose a multi-domain feature fusion convolutional neural network (MFF–CNN) that integrates the time domain, frequency domain, and time-frequency domain features of ECG for automatic MI detection and localization. Initially, we generate 2D frequency domain and time-frequency domain images to combine with single-dimensional time domain features, forming multi-domain input features to overcome the limitations inherent in single-domain approaches. …”
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Harnessing polydiacetylene (PDA): A review of structural mechanics and infectious disease detection by Soumendu Patra, Harshita Shand, Sayan Ghosal, Suvankar Ghorai

“…The review also focuses on the status of PDA vesicles for infectious disease detection.…”
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Design and Experimental Demonstration of an Integrated Sensing and Communication System for Vital Sign Detection by Chi Zhang, Jinyuan Duan, Shuai Lu, Duojun Zhang, Murat Temiz, Yongwei Zhang, Zhaozong Meng

“…An ISAC demonstration system based on software-defined radios (SDRs) was initiated to detect respiratory and heartbeat rates while maintaining communication capability in a typical office environment. …”
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A Low-Latency Dynamic Object Detection Algorithm Fusing Depth and Events by Duowen Chen, Liqi Zhou, Chi Guo

“…Existing RGB image-based object detection methods achieve high accuracy when objects are static or in quasi-static conditions but demonstrate degraded performance with fast-moving objects due to motion blur artifacts. …”
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Financial Fraud Detection on Social Networks Based on a Data Mining Approach by Victoria Bozhenko, Serhii Mynenko, Artem Shtefan

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Emerging technologies for the detection of rabies virus: challenges and hopes in the 21st century. by Anthony R Fooks, Nicholas Johnson, Conrad M Freuling, Philip R Wakeley, Ashley C Banyard, Lorraine M McElhinney, Denise A Marston, Akbar Dastjerdi, Edward Wright, Robin A Weiss, Thomas Müller

“…In the course of the past three decades, the application of molecular biology has aided in the development of tests that result in a more rapid detection of rabies virus. These tests enable viral strain identification from clinical specimens. …”
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