Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Marine mammal identification and classification for passive acoustic monitoring remain a challenging task. Mainly the interspecific and intraspecific variations in calls within species and among different individuals of single species make it more challenging. …”
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Development of RF Hardware and Point Cloud Processing Method for Phased Array Millimeter Wave Radar by Zihang Yan, Hua Zhang, Bo Yan, Jingrong Sun

“…Finally, through actual testing and comparison with other clustering algorithms, the superiority of this method in clustering accuracy and processing time was verified. …”
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The Bright Decade of Ocean Salinity from Space by Roberto Sabia, Jacqueline Boutin, Nicolas Reul, Tong Lee, Simon H. Yueh

“…Despite its relevance, however, it could not be measured from space, mainly because of technological limitations, until 2009. …”
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The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning by Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu

“…In this paper, an available prediction model is established by Long Short‐Term Memory (LSTM)‐based ensemble learning algorithms. However, the generalization ability of the deep learning model is often suspicious since training data and testing data are from the same data set in the conventional method. …”
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Modelling Gas Transport in Multiphasic Materials: Application to Semicrystalline Membranes by Lorenzo Merlonghi, Marco Giacinti Baschetti, Maria Grazia De Angelis

“…The description of gas permeation across heterogeneous materials has been studied with many methods, mainly focusing on composites with high aspect ratios and low filler volume fractions. …”
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Impact of Public Space in Primary and Secondary Schools Based on Natural Visibility Ratio by Feng Liu, Hao Zhou, Jiangtao Xie, Yue Tang, Shuyu Liu

“…This study analysed 53 schools, which are mainly located in urban areas of China, and variations in their design that were generated through computational modelling. …”
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Design of Multiregional Supervisory Fuzzy PID Control of pH Reactors by Shebel AlSabbah, Mujahed AlDhaifallah, Mohammad Al-Jarrah

“…The proposed work focuses, mainly, on two themes. The first one is to propose a multiregional supervisory fuzzy-based cascade control structure. …”
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Identification of aging-related biomarkers and immune infiltration analysis in renal stones by integrated bioinformatics analysis by Yuanzhao Wang, Nana Chen, Bangqiu Zhang, Pingping Zhuang, Bingtao Tan, Changlong Cai, Niancai He, Hao Nie, Songtao Xiang, Chiwei Chen

“…GO enrichment analysis revealed that these genes were mainly involved in RS-related biological processes such as macrophage proliferation and neuroinflammatory response. …”
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Identification of Plasma Exosomes hsa_circ_0001360 and hsa_circ_0000038 as Key Biomarkers of Coronary Heart Disease by Wan Zhang, Jiasen Cui, Li Li, Ting Zhu, Zhenyu Guo

“…Multiple machine learning algorithms have been used to explore potential biomarkers, followed by verification in patients with CHD using real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR). …”
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Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study by Zhao Ni, Sunyoung Oh, Rumana Saifi, Iskandar Azwa, Frederick L Altice

“… Abstract BackgroundMalaysia, an upper middle-income country in the Asia-Pacific region, has an HIV epidemic that has transitioned from needle sharing to sexual transmission, mainly in men who have sex with men (MSM). MSM are the most vulnerable population for HIV in Malaysia. …”
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Exploring the key ingredients and mechanisms of Banxia Xiexin decoction for the treatment of polycystic ovary syndrome based on network pharmacology and experimental validation by Bai Hai, Yingying Zhang, Jing Huang, Richard Mprah, Mingming Wang

“…Biological functions of these targets were mainly enriched in oxidative stress, hormone response and apoptosis. …”
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Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning by Hailin Su, Haijiang Sun, Yongxian Zhao

“…This study mainly addresses the issues of an excessive model parameter count and computational complexity in Detection Transformer (DETR) for remote sensing object detection and similar neural networks. …”
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Hygrobot: Hydrogen-Powered Mobile Robotic Platform for Rough Terrain: Electro-Mechanical Design, Physical Implementation, and Experimental Testing by Cirilo Delgado Asencio, Francisca Segura Manzano, José Manuel Andújar Márquez

“…This obstacle is mainly attributable to the lack of robust power systems capable of functioning in varied and often unpredictable settings. …”
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Curvature estimation for point cloud 2-manifolds based on the heat kernel by Kai Wang, Xiheng Wang, Xiaoping Wang

“…The proposed methods are mainly based on the heat kernel function and do not require local surface reconstruction, thus belonging to truly mesh-free methods. …”
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Bounds on the initial macroporosity of sea ice pressure ridges by Sönke Maus

“…The macroporosity then depends mainly on the length-to-thickness ratio of the ice blocks ϵb and it can be expected to fall in the range of $0.4 \lt \phi \lt 0.5$ for typical dimensions of ice blocks in sea ice ridges. …”
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Robust Model-Free Identification of the Causal Networks Underlying Complex Nonlinear Systems by Guanxue Yang, Shimin Lei, Guanxiao Yang

“…Due to the complexity of system modeling, the way in which universal and feasible inference algorithms are studied is a key challenge for network reconstruction. …”
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Diagnostic characteristics of Xpert MTB/RIF assay for the diagnosis of tuberculous meningitis and rifampicin resistance in Southern Brazil by Sergio Monteiro de Almeida, Gislene Maria Botão Kussen, Laura Cogo, José Henrique Carvalho, Keite Nogueira

“…Xpert MTB/RIF contributes significantly to the diagnosis of TBM, mainly when coupled with the conventional microbiological tests and clinical algorithms.…”
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Current Transformer Saturation Detection Method Based on Artificial Neural Network by Yu. V. Rumiantsev

“…When current transformer is saturated, mainly due to the presence of an exponentially decaying DC component in the fault current, its secondary current has a distinctive distorted waveform which significantly differs from its primary (true) waveform. …”
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Investigating the Enterprise Transition to Digital by N. V. Dneprovskaya

“…These challenges cause the necessity to search for effective ways of managing a big number of channels and entities of interaction, changing its business-model supporting algorithmic interaction, using programs and calculation capacities to work with big data. …”
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Exogenous interactome analysis of bovine viral diarrhea virus-host using network based-approach and identification of hub genes and important pathways involved in virus pathogenesi... by Seyedeh Elham Rezatofighi

“…CD46, EEF-2, and TXN genes were detected as hub genes using different ranking algorithms in cytoHubba. BVDV interactions with its host mainly focus on targeting translation, protein synthesis, and cellular metabolism pathways. …”
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