Diabetes is a chronic condition affecting millions worldwide and severely impacts health and quality of life. According to the International Diabetes Federation (IDF), over 463 million adults, which is 9.3% of the glo...
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Diabetes is a chronic condition affecting millions worldwide and severely impacts health and quality of life. According to the International Diabetes Federation (IDF), over 463 million adults, which is 9.3% of the global population, live with diabetes. Diabetes ranks among the most prevalent chronic diseases and was the ninth-leading cause of mortality in 2019, with 4.2 million deaths reported. This article presents a dataset of 5,288 patient records from Bangladesh, addressing gaps in diabetes research and aiding in healthcare planning, risk analysis, and predictive modelling. The dataset comprises 14 attributes: age, gender, pulse rate, systolic and diastolic blood pressure, glucose levels, height, weight, body mass index (BMI), family history of diabetes and hypertension, cardiovascular disease (CVD), and stroke. A dependent attribute, Diabetic, indicates whether an individual has diabetes or not. The dataset ensures demographic diversity and precise measurements, supporting the study of diabetes and its related health issues. Features like CVD and stroke enable broader research on comorbidities. This dataset facilitates machine learning applications, risk assessment, and personalized healthcare strategies. researchers can explore the links between diabetes, hypertension, CVD, and stroke, while healthcare providers and policymakers can leverage this to identify trends, allocate resources efficiently, and enhance public health strategies.
Human Machine Interface (HMI) for antenna stabilization systems has been made. This antenna stabilization system is used for ships but could be also installed on land vehicles with some adjustments. The HMI program ha...
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Protein-protein interactions are of great significance for human to understand the functional mechanisms of *** the rapid development of high-throughput genomic technologies,massive protein-protein interaction(PPI)dat...
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Protein-protein interactions are of great significance for human to understand the functional mechanisms of *** the rapid development of high-throughput genomic technologies,massive protein-protein interaction(PPI)data have been generated,making it very difficult to analyze them *** address this problem,this paper presents a distributed framework by reimplementing one of state-of-the-art algorithms,i.e.,CoFex,using *** do so,an in-depth analysis of its limitations is conducted from the perspectives of efficiency and memory consumption when applying it for large-scale PPI data analysis and *** solutions are then devised to overcome these *** particular,we adopt a novel tree-based data structure to reduce the heavy memory consumption caused by the huge sequence information of *** that,its procedure is modified by following the MapReduce framework to take the prediction task distributively.A series of extensive experiments have been conducted to evaluate the performance of our framework in terms of both efficiency and *** results well demonstrate that the proposed framework can considerably improve its computational efficiency by more than two orders of magnitude while retaining the same high accuracy.
This paper focuses on the challenge of jointly optimizing location and path loss exponent (PLE) in distancedependent noise. Departing from the conventional independent noise model used in localization and path loss ex...
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Mobile Ad hoc NETworks (MANETs) are comprised of mobile devices communicating with each other over multi-hop wireless links. Because they do not require any fixed infrastructure, these networks are appropriate for com...
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Unlike fixed cell-based wireless networks, the infrastructure topology of MANETs is constantly and some times rapidly changing. This characteristic has created the need to develop a new set of routing protocols for MA...
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Today, wireless sensor networks encompass a large volume of applications. Wireless sensor networks consisted of many nodes by low energy batteries. Therefore, they must consume power as low as possible. TDMA Protocol ...
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ISBN:
(纸本)9783642205040
Today, wireless sensor networks encompass a large volume of applications. Wireless sensor networks consisted of many nodes by low energy batteries. Therefore, they must consume power as low as possible. TDMA Protocol in these networks is designed for this goal. In this paper a multiobjective immune algorithm is proposed for finding optimal solutions to TDMA scheduling problem. The simulation results show a better performance in comparison to two algorithms using instances with different sizes.
The power transfer efficiency of energy harvesting systems is strongly dependent on the power conditioning circuits, especially rectifiers. The voltage drop across rectifier and its leakage current can drastically inf...
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Creating descriptors for trajectories has many applications in robotics/human motion analysis and video copy detection. Here, we propose a novel descriptor for 2D trajectories: Histogram of Oriented Displacements (HOD...
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ISBN:
(纸本)9781577356332
Creating descriptors for trajectories has many applications in robotics/human motion analysis and video copy detection. Here, we propose a novel descriptor for 2D trajectories: Histogram of Oriented Displacements (HOD). Each displacement in the trajectory votes with its length in a histogram of orientation angles. 3D trajectories are described by the HOD of their three projections. We use HOD to describe the 3D trajectories of body joints to recognize human actions, which is a challenging machine vision task, with applications in human-robot/machine interaction, interactive entertainment, multimedia information retrieval, and surveillance. The descriptor is fixed-length, scale-invariant and speed-invariant. Experiments on MSR-Action3D and HDM05 datasets show that the descriptor outperforms the state-of-the-art when using off-the-shelf classification tools.
Communication-intensive parallel applications spend a significant amount of their total execution time exchanging data between processes, which leads to poor performance in many cases. In this paper, we investigate me...
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