Effectiveness and optimization of bidirectional long short-term memory (BiLSTM) based fast detection of deep fake face videos for real-time applications by Haoxiang Wang

“…An optimized BiLSTM architecture and training strategy are employed, enhancing recognition capabilities through data preprocessing and feature enhancement while also minimizing computational complexity and resource consumption during detection. …”
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Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

“…GPT-paraphrased English texts showed that 3.2% of sentences remain the same, and they are found in 16% of documents. Syntax analysis of the test datasets has shown that the change of the model temperature influences syntactic features (average number of words and sentences) in English texts and slightly or not in Serbian texts. …”
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Applied Data Analysis in Energy Monitoring System by Kychkin А.V., Mikriukov G.P.

“…Software and hardware system organization is presented as an example for building energy monitoring of multi-sectional lighting and climate control / conditioning needs. System key feature is applied office energy data analysis that allows to provide each type of hardware localized work mode recognition. …”
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Detection of Damage on Inner and Outer Races of Ball Bearings Using a Low-Cost Monitoring System and Deep Convolution Neural Networks by Handeul You, Dongyeon Kim, Juchan Kim, Keunu Park, Sangjin Maeng

“…Furthermore, an explainable AI technique is applied to extract key feature values identified by the fault classification algorithm, providing a method to support the analysis of fault causes.…”
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Prevalence and Possible Causes of Infertility in the Perm Region by A. P. Godovalov, N. V. Nikolaeva, T. I. Karpunina

“…The long-term dynamics of general morbidity, distribution of the patients by age, sex, social status, morbidity in combination with HIV infection, the detection of gonococcal infection by various specialists and methods of laboratory diagnostics were studied using the method of retrospective epidemiological analysis. …”
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Distinguish seabed objects utilizing different marine acoustic techniques by Amr Z. Hamouda, Mohamed A. Nassar, Suzan M. El-Gharabawy

“…The case study results, from analysis of SBP with ROV image to the object detected by SSS utilized three objects making a shadow in SSS seabed: boulder, hard substrate, and seagrass. …”
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Health Monitoring of Carbon Fiber Reinforced Building Materials Based on Phase Unwrapping Algorithm by Min Yan, Jianjun Zhou, Shuai Guo, Yanlong Li

“…When constructing the model, deep convolutional neural network is used to effectively extract the features of carbon fiber reinforced building materials, and improve the analysis ability of the building materials monitoring model. …”
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Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection by Ruo-Fei Xu, Zhen-Jing Liu, Shunan Ouyang, Qin Dong, Wen-Jing Yan, Dong-Wu Xu

“…Model performance was systematically evaluated through discrimination (ROC analysis), calibration (Brier score), and clinical utility analyses (decision curve analysis), with additional validation using random forest and support vector machine algorithms across independent samples. …”
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Adenocarcinoma with fetal features invading the right superior sulcus treated with neoadjuvant chemoradiotherapy followed by complete video-assisted thoracoscopic right upper lobec... by Kensuke Kojima, Hyungeun Yoon, Tetsuki Sakamoto, Tomoki Utsumi, Teiko Sakurai, Naoko Takeuchi, Maiko Takeda, Takahiko Kasai, Shinji Atagi, Akihide Matsumura

“…The analysis supported a pathologic diagnosis of adenocarcinoma with fetal features. …”
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Fractal Analysis of Electrodermal Activity for Emotion Recognition: A Novel Approach Using Detrended Fluctuation Analysis and Wavelet Entropy by Luis R. Mercado-Diaz, Yedukondala Rao Veeranki, Edward W. Large, Hugo F. Posada-Quintero

“…This study introduces a novel approach to detecting emotional states based on fractal analysis of electrodermal activity (EDA) signals. …”
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Comparison of Fractional Anisotropy Variances in the Trigeminal Nerve at Root Entry and Cisternal Segment Zones in Patients with and without Clinical Features of Trigeminal Neuralg... by Athota Sai Preethi, Vadana Balamurali Krishna, Velicheti Sandeep, Hanumanthu Manasa Mayukha, Marineni Anveeksha, Kondragunta chandrasekhar

“…Introduction: Although vessel impingement on nerves can be detected using High-resolution steady-state free precession sequences, such as Fast Imaging Employing Steady-state Acquisition (FIESTA), it remains uncertain whether the compression is a physiological variation or a pathological cause of symptoms. …”
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Clinical characteristics of patients with acute pulmonary embolism complicated with antiphospholipid syndrome: a case control study by Jianyuan Wan, Shuanglan Xu, Jingchao Yang, Qian Liu, Rongping Yang, Wei Kang, Jiao Yang, Xiqian Xing

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Speech-Based Parkinson’s Detection Using Pre-Trained Self-Supervised Automatic Speech Recognition (ASR) Models and Supervised Contrastive Learning by Hadi Sedigh Malekroodi, Nuwan Madusanka, Byeong-il Lee, Myunggi Yi

“…Diagnosing Parkinson’s disease (PD) through speech analysis is a promising area of research, as speech impairments are often one of the early signs of the disease. …”
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Detection and recognition of foreign objects in Pu-erh Sun-dried green tea using an improved YOLOv8 based on deep learning. by Houqiao Wang, Xiaoxue Guo, Shihao Zhang, Gongming Li, Qiang Zhao, Zejun Wang

“…It incorporates the EfficientDet high-efficiency target detection network architecture module, which utilizes compound scale-centered anchor boxes and an adaptive feature pyramid to achieve efficient detection of targets of various sizes. …”
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Activity Analysis of the Economic Entity and Digital Culture by E. B. Gerasimova

“…Detection of the positive features and disadvantages of digitalisation of the economy. …”
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Individual Tree Segmentation From Airborne LiDAR Data Based on Automatic Treetop Detection and Simulated Stem-Branch Points Compensation by Qingjun Zhang, Jiale Chen, Hanwen Qi, Xu Wang, Xinlian Liang

“…Therefore, we propose a novel individual tree segmentation method based on treetop detection and point compensation. First, a center shift algorithm is proposed to detect treetop candidates, which are then refined to identify reliable treetops through geometric-feature analysis of these candidates’ neighborhoods. …”
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MSS-Net: a lightweight network incorporating shifted large kernel and multi-path attention for ship detection in remote sensing images by Guoqing Zhou, Xiangting Wang, Sheng Liu, Yuefeng Wang, Ertao Gao, Jiangying Wu, Yanling Lu, Linbo Yu, Weiyi Wang, Kun Li

“…Thirdly, shared convolutional detection head (SCDH) is built to unify multi-scale features, reducing parameter redundancy. …”
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Cyclostationary Analysis for Gearbox and Bearing Fault Diagnosis by Zhipeng Feng, Fulei Chu

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Artificial Intelligence in the Analysis of Upper Gastrointestinal Disorders by Chang Seok Bang

“…Neural networks were used to detect, classify, and delineate various images of lesions because the local feature selection and optimization of the deep learning model enabled accurate image analysis. …”
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Research on Pantograph Defect Classification Based on Vibration Signals by Vytautas Gargasas, Kęstas Rimkus, Mindaugas Alekna, Andrius Knyš, Mindaugas Žilys, Algimantas Valinevičius

“…However, in these publications, mechanical vibration analysis is limited to signal shape and spectral analysis. …”
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