In this article,we study the existence and non-existence of weak solutions to the following quasilinear elliptic problem with principal part having degenerate coercivity and nonlinear term involving gradie,■where??RN...
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In this article,we study the existence and non-existence of weak solutions to the following quasilinear elliptic problem with principal part having degenerate coercivity and nonlinear term involving gradie,■where??RN(N≥3) is a bounded smooth domain,1
The injective chromatic number χi(G) of a graph G is the minimum number of colors needed to color the vertices of G such that different vertices with the same neighbor are colored differently. In this here, we get so...
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The coloring theory of graphs is a very important direction in graph theory. The graph coloring problem has a strong application background. Many practical problems such as timetabling problems, frequency allocation p...
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Wandering is a significant indicator in the clinical diagnosis of dementia and other related diseases for *** monitoring of long-term continuous movement in indoor setting for detection of wandering movement is challe...
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Wandering is a significant indicator in the clinical diagnosis of dementia and other related diseases for *** monitoring of long-term continuous movement in indoor setting for detection of wandering movement is challenging because most elders are prone to forget to carry or wear sensors that collect motion information daily due to their declining ***-Fi as an emerging sensing modality has been widely used to monitor human indoor movement in a noninvasive *** order to continuously monitor individuals’indoor motion and reliably identify wandering movement in a non-invasive manner,in this work,we develop a LSTMbased deep classification method that is able to differentiate the wandering-causedWi-Fi signal change from the ***,we first use the off-the-shelf Wi-Fi devices to capture a resident’s indoor motion information,enabling to collect a group ofWi-Fi signal streams,which will be split into variablesize ***,the deep network LSTM is adopted to develop wandering detection method that is able to classify every variable-size segment of Wi-Fi signals into categories according to the well-known wandering spatiotemporal ***,experimental evaluation conducted on a group of realworld Wi-Fi signal streams shows that our proposed LSTMbased detection method is workable and effective to identify indoor wandering behavior,obtaining an average value of 0.9286,0.9618,0.9634 and 0.9619 for accuracy,precision,recall and F-1 score,respectively.
Functional medicine imaging has been successfully applied to capture functional changes in pathological tissues of the body in recent years. SPECT nuclear medicine functional imaging has the potential to acquire infor...
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Whole-body bone scan is an effective tool for diagnosing bone metastasis from malignant tumors, including lung cancer. However, due to the low spatial resolution of Scintigraphic images, manual analysis of the images ...
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Bone scan images has important clinical application value for the early diagnosis and treatment of skeletal lesions in the whole-body. In order to realize classification of multiple diseases (i.e., normal, bone metast...
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Cardiovascular disease remains the leading cause of death worldwide over the past two decades. Because of a large number of clinical data and the complexity of the disease, it is often challenging to diagnose and make...
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Even though the RNN, LSTM, and other networks are used to extract dependencies in time series, sensor-based human behavior recognition (HAR) still faces some difficulties, and the ability of deep learning (DL) network...
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SPECT imaging is an effective medical method for diagnosis, treatment, evaluation, and prevention of a range of serious diseases and medical conditions. SPECT bone scans have the potential to provide more accurate ass...
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