Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection by Khrystyna Lipianina-Honcharenko, Nazar Melnyk, Andriy Ivasechko, Mykola Telka, Oleg Illiashenko

“…This study uses the golden frame selection technique to present a neural network ensemble method for deepfake classification. The proposed approach optimizes computational resources by extracting the most informative video frames, improving detection accuracy. …”
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Development and validation of a multiplex RT-qPCR method for the simultaneous detection of influenza type A, B and SARS-COV-2 viruses by Samira Karimkhani, Ehsan Lotfi, Fatemeh Karamali, Mahsa DarestaniFarahani, Reza Keikha, Mahmood Barati

“…Optimization was performed using qPCR methods, and the method's analytical sensitivity and specificity were assessed. …”
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A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach by Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi

“…Deep Learning (DL), which can precisely learn the intrinsic features of the websites and recognize phishing websites, is one of the innovative techniques utilized to solve this issue. Methods In this study, we proposed a novel OptSHQCNN phishing detection method. …”
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Advances in methods for evaluating anti-wrinkle efficacy in the periocular and perioral areas by TAN Huiling, LV Hua, WEN Si, YE Li, LIU Zhenfeng

“…This paper systematically reviews the research progress of subjective assessment methods and objective analysis methods (such as 3D skin detection, dynamic facial expression capture, biomarker detection), focusing on the innovative application of AI algorithms in wrinkle classification and quantification, as well as the potential of the integration of multimodal technologies (such as AI+3D imaging+biomechanical testing) to enhance the reliability of the evaluation. …”
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Automated fluid monitoring to optimize the follow-up of neovascular age-related macular degeneration patients in the Brazilian population by Virginia Mares, Gregor S. Reiter, Aniel Feitosa, Markus Gumpinger, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Marcio B. Nehemy

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Detection of false data injection in electric energy metering platforms using gradient lifting decision trees and MLP neural networks by Yakui Zhu, Yangrui Zhang, Chao Zhang, Bingyu Zhang, Hongying Wang, Shaokang Feng

“…Abstract This study investigates a false data injection detection method in an automatic data acquisition platform for electric energy measurement with the aim of ensuring the stability and security of the power system. …”
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Innovative framework for fault detection and system resilience in hydropower operations using digital twins and deep learning by Jun Tan, Raoof Mohammed Radhi, Kimia Shirini, Sina Samadi Gharehveran, Zamen Parisooz, Mohsen Khosravi, Hossein Azarinfar

“…Overall, this research demonstrates that the integration of Digital Twins and Deep Learning provides a powerful, data-driven approach to optimizing hydropower systems. The proposed method offers substantial benefits in terms of operational efficiency, fault detection accuracy, and cost savings, positioning it as a significant advancement in the field.…”
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Green Analytical Method Using Single-Drop Microextraction Followed by Gas Chromatography for Nitro Compound Detection in Environmental Water and Forensic Rinse Water by Tamara Pócsová, Senad Okanovič, Svetlana Hrouzková

“…The LOD values ranged from 0.01 to 0.09 μg/L in deionized water, 0.01 to 0.06 μg/L in tap water, 0.01 to 0.03 μg/L in seawater, and 0.03 to 0.11 μg/L in model forensic rinse water. The optimized method was successfully applied to the determination of nitro compounds in real environmental water samples and forensic rinse water samples. …”
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Development of a Novel Multiplex PCR Method for the Rapid Detection of SARS-CoV-2, Influenza A Virus, and Influenza B Virus by Liang Ma, Haoyan Zhu, Yongwei Jiang, Xiaomu Kong, Peng Gao, Yi Liu, Meimei Zhao, Guoxiong Deng, Yongtong Cao

“…A sensitive and specific multiplex fluorescence rapid detection method was established for simultaneous detection of SARS-CoV-2, influenza A virus, and influenza B virus in a self-made device within 30 min, with a minimum detection limit of 200 copies/mL. …”
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ppb-Level SO₂ Photoacoustic Sensor for SF₆ Decomposition Analysis Utilizing a High-Power UV Laser with a Power Normalization Method by Xiu Yang, Baisong Chen, Yuyang He, Chenchen Zhu, Xing Zhou, Yize Liang, Biao Li, Xukun Yin

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Extensive identification of landslide boundaries using remote sensing images and deep learning method by Chang-dong Li, Peng-fei Feng, Xi-hui Jiang, Shuang Zhang, Jie Meng, Bing-chen Li

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YOLOv11-ND: A Method for Identifying Traffic Targets in Nighttime Urban Environments by Danyang Zhu, Hao Zhou, Yunlong Gao, Yongjuan Wang

“…Then, to boost the fusion ability of multi-scale features, the HS-FPN network structure is adopted in the neck section. This improves the detection performance. Lastly, the model is optimized using the Focaler-GIoU loss function to further enhance the detection performance. …”
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A Three-Dimensional FDTD(2,4) Subgridding Algorithm for the Airborne Ground-Penetrating Radar Detection of Landslide Models by Lifeng Mao, Xuben Wang, Yuelong Chi, Su Pang, Xiangpeng Wang, Qilin Huang

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Time-triggered stream scheduling method combining no-wait and time-slot mapping reuse by HE Qian, GUO Yanan, ZHAO Baokang, PAN Qi, WANG Yong

“…The base period was used as the scheduling cycle time, by adopting no-wait scheduling for real-time streams and time-slot mapping reuse for cyclic streams, the length of gate control list was reduced. Then, a conflict detection method that utilized the midpoint of the data frame transmission interval significantly reduced the time complexity associated with slot conflict detection. …”
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Synergizing vision transformer with ensemble of deep learning model for accurate kidney stone detection using CT imaging by Arwa Alzughaibi, Adwan A. Alanazi, Mohammed Alshahrani, Ines Hilali Jaghdam, Abaker A. Hassaballa

“…This study presents a Leveraging Flying Foxes Optimization with an Ensemble of Deep Learning for Accurate Kidney Stone Detection (LFFOEDL-AKSD) technique in CT scans. …”
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Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Emmanuel Ahishakiye, Fredrick Kanobe

“…However, most of the MLs have overfitting limitations which limits their deployment, especially in the health sector where accurate predictions are needed. Methods In this study, we propose two kernel-based algorithms for automated detection of cervical cancer. …”
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The development of an intelligent comprehensive detection instrument for circuit breakers in power systems and its key technologies by Weimin Guan, Han Hu, Chao Sun, Jie Ji

“…Compared to traditional methods, the proposed solution shows significant advantages in reducing false alarms, optimizing detection speed, and improving environmental adaptability. …”
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A critical review of conventional and emerging technologies for the detection of contaminants, allergens and adulterants in plant-based milk alternatives by Zahra Karimi, Katrina Campbell, Zoltan Kevei, Andrea Patriarca, Anastasios Koidis, Maria Anastasiadi

“…Despite these technological innovations, important challenges remain, particularly in optimizing sample preparation protocols and improving DNA-based methods efficiency. …”
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A Segmented Low-Order Bistable Stochastic Resonance Method for Fixed-Distance Target Detection in Millimeter-Wave Fuze Under Rainy Conditions by Bing Yang, Kaiwei Wu, Zhe Guo, Yanbin Liang, Shijun Hao, Zhonghua Huang

“…To address these limitations while satisfying real-time processing requirements, this study proposes (1) a novel segmented low-order bistable stochastic resonance (SLOBSR) system based on piecewise polynomial potential functions and (2) a corresponding fixed-distance target detection algorithm incorporating signal pre-processing, particle swarm optimization (PSO)-based parameter optimization, and kurtosis threshold detection. …”
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A novel colorimetric lead ion detection method using lead-2′3-dimercaptosuccinic acid chelates to catalyze etching of gold nanostars by Yuhuan Qin, Wenxue Sun, Joseph Brake, Sulin Gao, Qianqian Li, Xinrong Zhu, Jiang Bian, Xiaobin Wu

“…We developed an optimized spectroscopic method to detect lead ions by first identifying a lead-specific chelator 2,3-dimercaptosuccinic acid (DMSA) which was screened using a novel biological screening system and verified by metal chromophore assays. …”
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