Inferring Mechanical Properties of Wire Rods via Transfer Learning Using Pre-Trained Neural Networks by Adriany A. F. Eduardo, Gustavo A. S. Martinez, Ted W. Grant, Lucas B. S. Da Silva, Wei-Liang Qian

“…It is demonstrated that the pre-training effectively accelerates the learning process for the target feature. Therefore, it is concluded that appropriate architecture design and pre-training are essential for applying machine learning techniques to realistic problems.…”
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Effectiveness of Cognitive Behavioral Therapy and Aerobic Exercise in Parkinson Disease Dementia: A Pilot Study by Dhanusia S, Shareen Akbar A, Prathap Suganthirababu, Vignesh Srinivasan, Priyadharshini Kumar, Vanitha Jayaraj, Suriya Vishnuraman, Yamini Umasankar, Poovarasan Murugaiyan

“…Cognitive decline, including problems with memory and attention, was a crucial feature of the disease since it adds a great deal of burden to both the patient and caretakers. …”
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Co-delivery of polyphyllin II and IR780 PLGA nanoparticles induced pyroptosis combined with photothermal to enhance hepatocellular carcinoma immunotherapy by Huating Huang, Jing Fu, Hulinyue Peng, Yuanyuan He, Aqian Chang, Huizhong Zhang, Yang Hao, Xiaohan Xu, Shiman Li, Jingxia Zhao, Jian Ni, Xiaoxv Dong

“…The nanoparticles exhibit a pH/NIR dual-response intelligent release feature, which realizes the targeted and controlled release of drugs in tumor site. …”
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Anterior Cruciate Ligament (ACL) Tear Detection Using Hybrid CNN Transformer by Suthir Sriram, Deependra K. Singh, D. V. Sairam, Nivethitha Vijayaraj, Thangavel Murugan

“…For instance, CNNs have a tendency of extracting local features, hence have problems in understanding global context but on the other hand, transformers excel in understanding global information even if it implies losing some details in localization. …”
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A Weighted-Transfer Domain-Adaptation Network Applied to Unmanned Aerial Vehicle Fault Diagnosis by Jian Yang, Hairong Chu, Lihong Guo, Xinhong Ge

“…The method is based on unsupervised transfer learning, which can transfer the knowledge learnt from existing datasets to solve problems in the target domain. The method contains three novel multiscale modules: a feature extractor, used to extract multidimensional features from the input; a domain discriminator, used to improve the imbalance of the data distribution between the source domain and the target domain; and a label classifier, used to classify data categories for the target domain. …”
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Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method by Shuqin Tu, Haoxuan Ou, Aqing Yang, Yun Liang, Jiaying Du, Yuefei Cao, Ruilin He, Fang Yuan

“…Firstly, we create a new backbone structure named RKNet to enhance aggression feature extraction and representation learning ability. …”
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TIESA IR TIKRUMAS WITTGENSTEINO FILOSOFIJOJE by Albinas Plėšnys

“…Truth is one of the major problems in Tractatus. The later Wittgenstein abandoned his ontological scheme and a related conception of exact truth. …”
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Ethnic Architectural Heritage Identification Using Low-Altitude UAV Remote Sensing and Improved Deep Learning Algorithms by Ting Luo, Xiaoqiong Sun, Weiquan Zhao, Wei Li, Linjiang Yin, Dongdong Xie

“…According to an in-depth comparative analysis, the innovative method proposed in this paper solves the problem of insufficient feature extraction of sample edge pixels and substantially reduces interference from complex environmental factors such as roads, building shadows, and vegetation with the recognition results for ethnic architecture. …”
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Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss by Quandeng Gou, Jingxuan Zhou, Zi Li, Fangrui Zhang, Yuheng Ren

“…In addition, if the combination of CNN and Transformer is not done appropriately, it may significantly weaken the model’s ability to express local features. A new image classification model is proposed to solve the above problems. …”
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Research on the Wetland Vegetation Classification Method Based on Cross-Satellite Hyperspectral Images by Min Yang, Jing Qin, Xiaodan Wang, Yanfeng Gu

“…This has a negative impact on subsequent classification accuracy. To alleviate these problems, we have designed a linear unbiased stochastic network classification framework based on adversarial learning. …”
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Pengembangan Sistem Informasi Layanan Dokumen Alumni Politeknik Statistika STIS by Ni Ketut Ananta Kusuma Dewi, Nori Wilantika

“…The officer sub-system features announcements, application lists, and archives. …”
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Multi scale convolutional neural network combining BiLSTM and attention mechanism for bearing fault diagnosis under multiple working conditions by Zhao Dengfeng, Tian Chaoyang, Fu Zhijun, Zhong Yudong, Hou Junjian, He Wenbin

“…A deep learning network framework for diagnosing bearing faults under multiple load conditions is proposed to address the problems of extracting a single feature scale from bearing vibration timing signals, inability to simultaneously utilize spatial and bidirectional time features, and difficulty in obtaining sufficient training data under multiple working conditions. …”
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Estimation of Trace Elements (Zinc and Copper) in Serum of Multiple Sclerosis Patients in Baghdad City by Ammar Jabbar, Hassan Al-Saeed

“…Double vision, blindness in one eye, muscle weakness, and problems with sensation or coordination are all possible symptoms. …”
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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

“…However, it is valuable as these attacks may lead to big problems. Various methods are presented for attack detection and prevention. …”
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Estimation Model and Spatio-Temporal Analysis of Carbon Emissions from Energy Consumption with NPP-VIIRS-like Nighttime Light Images: A Case Study in the Pearl River Delta Urban Ag... by Mengru Song, Yanjun Wang, Yongshun Han, Yiye Ji

“…Urbanization is growing at a rapid pace, and this is being reflected in the rising energy consumption from fossil fuels, which is contributing significantly to greenhouse gas impacts and carbon emissions (CE). Aiming at the problems of the time delay, inconsistency, uneven spatial coverage scale, and low precision of the current regional carbon emissions from energy consumption accounting statistics, this study builds a precise model for estimating the carbon emissions from regional energy consumption and analyzes the spatio-temporal characteristics. …”
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Enhancing <i>Panax notoginseng</i> Leaf Disease Classification with Inception-SSNet and Image Generation via Improved Diffusion Model by Ruoxi Wang, Xiaofan Zhang, Qiliang Yang, Lian Lei, Jiaping Liang, Ling Yang

“…Moreover, classifying <i>P. notoginseng</i> leaf diseases faces severe challenges, including the small features of anthrax and the strong similarity between round spot and melasma diseases. …”
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VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification by Kambham Pratap Joshi, Vishruth Boraiah Gowda, Parameshachari Bidare Divakarachari, Paramesh Siddappa Parameshwarappa, Raj Kumar Patra

“…Then, the segmented outputs are processed into feature extraction, where an AlexNet model is used to reduce the dimensionality. …”
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Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study by Roksana Akter Raisa, Ayesha Siddika Rodela, Mohammad Abu Yousuf, Akm Azad, Salem A. Alyami, Pietro Lio, Md Zahidul Islam, Ganna Pogrebna, Mohammad Ali Moni

“…Sleep apnea (SA) is one of the most prevalent sleep-related problems, impacting more than 100 million people worldwide. …”
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Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning by Jiming Tang, Yao Huang, Dingli Liu, Liuyuan Xiong, Rongwei Bu

“…In the experiment, effective preprocessing measures were taken for problems such as data imbalance, missing values, the encoding of categorical variables, and the standardization of numerical features. …”
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InfraredStereo3D: Breaking Night Vision Limits with Perspective Projection Positional Encoding and Groundbreaking Infrared Dataset by Yuandong Niu, Limin Liu, Fuyu Huang, Juntao Ma, Chaowen Zheng, Yunfeng Jiang, Ting An, Zhongchen Zhao, Shuangyou Chen

“…It effectively solves the problem of feature extraction and matching caused by insufficient texture information in infrared images and significantly improves matching accuracy. …”
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