Lightweight Domestic Pig Behavior Detection Based on YOLOv8 by Kaining Zhang, Yu Zhang, Hongli Xu

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Detection of Hydration on Nominally Anhydrous S-complex Main Belt Asteroids by Maggie McAdam, Cristina Thomas, Lauren McGraw, Andrew Rivkin, Joshua Emery

“…The majority of the observations (27 of 33) have a detectable 3 μ m feature that has at least 1% band depth or greater (within error), indicating the presence of hydration. …”
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DualAD: Dual adversarial network for image anomaly detection⋆ by Yonghao Wan, Aimin Feng

“…One popular approach to anomaly detection is using autoencoders, which are trained to reconstruct input by minimising reconstruction error with the neural network. …”
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Genderly: a data-centric gender bias detection system by Wael Khreich, Jad Doughman

“…Findings reveal that optimized ML models detect surface-level biases effectively, while LLMs excel in identifying biases embedded in semantics, with benevolent sexism being particularly challenging. …”
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Deep Learning-Based Crack Detection on Cultural Heritage Surfaces by Wei-Che Huang, Yi-Shan Luo, Wen-Cheng Liu, Hong-Ming Liu

“…This study employs a deep learning-based object detection model, GoogleNet, to identify cracks in cultural heritage images. …”
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Exploration of Weak Peak Detection Method Based on Gamma Spectra Deconvolution by SONG Yiming, ZHOU Qianqian, CHEN Ye, LIU Dahai, ZHOU Hongzhao, XIAO Wuyun

“…Therefore, it is proved that the method based on spectrum deconvolution to detect weak peaks can effectively improve the weak peaks detection capability of low resolution spectrometers. …”
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The Development of Digital Twin Baby Incubators for Fault Detection and Performance Analysis by Hatice Kabaoğlu, Emine Uçar, Fecir Duran

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Direct blind multiuser detection without channel estimation and equalizer design by ZHANG Zhi-yong1, LING Yun2

“…The blind equalization and multiuser detection problem for synchronous high-rate DS-CDMA systems in dispersive channels was considered. …”
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Evaluation of paired-end sequencing strategies for detection of genome rearrangements in cancer. by Ali Bashir, Stanislav Volik, Colin Collins, Vineet Bafna, Benjamin J Raphael

“…We further demonstrate how the ability to detect fusion genes depends on the distribution of gene lengths, and we evaluate how different parameters of a sequencing strategy impact breakpoint detection, breakpoint localization, and fusion gene detection, even in the presence of errors that suggest false rearrangements. …”
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Detection of breast cancer using machine learning and explainable artificial intelligence by Tharunya Arravalli, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, D. Cenitta, Rajagopala Chadaga, K. S. Swathi

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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

“…For TR4 in Mozambique, the approach successfully tracked disease progression, revealing clear spatial spread patterns and correlations as high as 0.98 between VI anomalies and disease cases in some pixels. These findings support the potential of our method as a scalable early warning system for banana disease detection.…”
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Real-time locomotion mode detection in individuals with transfemoral amputation and osseointegration by Bahareh Ahkami, Morten B. Kristoffersen, Max Ortiz-Catalan

“…On average, offline classification resulted in a mean error of 5.7%, while the corresponding mean error during online (real-time) evaluation was 11.6%. …”
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Fault detection in beam structure using adaptive immune based approach by Sasmita Sahu, Shakti P. Jena

“…Recently with the application of machine learning approaches and the soft computing, the damage can be detected easily. In this methodology, Clonal Section Algorithm (CSA) has been applied to find out the faults (crack locations and depth) in the structure initially. …”
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TSHD: Topic Segmentation Based on Headings Detection (Case Study: Resumes) by Majd E. Tannous, Wassim H. Ramadan, Mohanad A. Rajab

“…Manually processing resumes to find the most suitable candidates for a particular job is a difficult task. …”
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Building Damage Visualization Through Three-Dimensional Reconstruction and Window Detection by Ittetsu Kuniyoshi, Itsuki Nagaike, Sachie Sato, Yue Bao

“…The proposed method utilizes a 3D scanner to capture point cloud data and images, which are processed to extract building surfaces, detect inclination, and assess secondary structural components such as window frames. …”
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EXIT Chart Analysis of Expectation Propagation-Based Iterative Detection and Decoding by Fuga Kobayashi, Takumi Takahashi, Shinsuke Ibi, Hideki Ochiai

“…Extensive simulations of multiple-input multiple-output (MIMO) signal detection indicate that EP-based IDD provides superior bit error rate (BER) performance compared to turbo equalization, especially in demanding scenarios involving higher modulation orders and increased spatial multiplexing loads. …”
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Nanoscale Organic Contaminant Detection at the Surface Using Nonlinear Bond Model by Hendradi Hardhienata, Muhammad Ahyad, Fasya Nabilah, Husin Alatas, Faridah Handayasari, Agus Kartono, Tony Sumaryada, Muhammad D. Birowosuto

“…We find for the first time that the SBHM not only identifies the different organic pollutant dyes on the surface, as in conventional SHG detection, but can also determine their relative orientation and different concentrations on the surface. …”
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Epidemiology of inherited metabolic disorders in newborn screening: insights from three years of experience in Southern Iran by Leila Salarian, Homa Ilkhanipoor, Anis Amirhakimi, Zhila Afshar, Saman Nahid, Fariba Moradi Ardekani, Nazila Rahimi, Negar Yazdani, Abdolhossein Nikravesh, Zahra Beyzaei, Hossein Moravej

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Impact of Leg Position on Measurements Used to Detect Femoral Component Subsidence in THA by Elizabeth S. Kaji, BA, Austin F. Grove, BA, Eva Lehtonen, MD, Kellen L. Mulford, PhD, Pouria Rouzrokh, MD, MPH, MHPE, Charles P. Hannon, MD, MBA, Michael J. Taunton, MD, Cody C. Wyles, MD

“…Conclusions: Minor changes (20° or less) in leg rotation between serial radiographs are unlikely to significantly affect the greater trochanter to tip of the stem measurement, whereas flexion is highly impactful. These findings suggest that the fully automated artificial intelligence–based tool for detecting and quantifying femoral component subsidence is robust against rotational variations but may be susceptible to significant measurement errors if there are considerable changes in leg flexion between comparative radiographs.…”
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SSB: Smart Contract Security Detection Tool Suitable for Industrial Control Scenarios by Ci Tao, Shuai He, Xingqiu Shen

“…The results of this study highlight the effectiveness of the proposed semantic security detection framework, SSB, in identifying a wide range of vulnerabilities in smart contracts tailored for industrial control scenarios. …”
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