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Fang Ruixue had been reborn, and had returned to that crossroads where she could change her life. In her previous life, she was a timid and cowardly person. In the end, she became a tool that her stepmother used to seek benefits for her little brother. She was stuck in a quagmire of life. In this life, she would firmly grasp her fate in her own hands. In this life, she actually met someone she could only look up to in her previous life. However, all she wanted to do was to earn more money and accumulate capital; she had no interest whatsoever in dating someone.
Gastroesophageal cancer is among the most common malignant diseases worldwide and is associated with high mortality rates, leading to a substantial burden on public health and healthcare systems around the world. Chemotherapeutic drugs have achieved great success in the treatment of esophageal cancer; however, they also bring cytotoxicity to other organs and often have serious side effects. With the development of molecular diagnostics and biomarker discovery, the application of precision medicine has emerged to improve clinical outcomes.
Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing. Features Inc...
Neurological disorders categorized as neurodegenerative, neuropsychiatric, and neurotraumatic impose a substantial health burden and cause a frail impact on life attributes. The use of synthetic drugs can have undesirable side effects, making neurotherapeutics challenging. Research on neuroprotection aiming for the utilization of safer natural compounds; phytochemicals specifically – is a cutting-edge approach. NeuroPhytomedicine intends to present readers with a wide-ranging and state-of-the-art appearance at the beneficial properties of phytochemicals on various neurological ailments. It additionally contains sections explaining: Applications of phyto-nanotechnology in neurological ailments Phytoconstituents related deep learning and machine learning-based solutions for neurological disorders Epigenetic relevance pertaining to modulation by phytochemicals The goal of NeuroPhytomedicine is to give readers a thorough and up-to-date look at how phytochemicals affect the brain and neurological illnesses in a way that is helpful for research scholars, academicians, scientists, neuroscientists, physicians, and researchers from the pharmaceutical industry.
Computer vision aims to equip machines with perceptual understanding—detecting, recognizing, localizing, and relating visual entities to existing sources of knowledge. Machine learning provides the mechanism: models learn representations and decision rules from data and are expected to generalize beyond the training distribution. These systems already support biodiversity monitoring, autonomous driving, and geospatial mapping. In practice, however, textbook assumptions break down: the concept space is vast, data is sparse and imbalanced, many categories are rare, and high-quality annotations are costly. In addition, deployment conditions shift over time—class frequencies and visual domai...
Selected, peer reviewed papers from the 2014 International Conference on Vehicle & Mechanical Engineering and Information Technology (VMEIT 2014), February 19-20, 2014, Beijing, China
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