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Titlebook: Data Science and Security; Proceedings of IDSCS Dharm Singh Jat,Samiksha Shukla,Durgesh Kumar Mish Conference proceedings 2021 The Editor(s

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11#
發(fā)表于 2025-3-23 12:56:26 | 只看該作者
12#
發(fā)表于 2025-3-23 14:42:19 | 只看該作者
A Survey on Guiding Customer Purchasing Patterns in Modern Consumerism Scenario in India,e shopping malls user does happy shopping but feels tired and sick for standing in the long queues for the billing. Each product can be billed by reading the barcode on each product; thus, a single person scanning thousands of products of hundreds and more customers is a tedious task. Thus, we have
13#
發(fā)表于 2025-3-23 20:40:15 | 只看該作者
14#
發(fā)表于 2025-3-23 23:05:19 | 只看該作者
ALOSI: Aspect-Level Opinion Spam Identification,form on social media and e-commerce for users to express/explore opinions on products and/or product manufacturers for the betterment of the product development. A tentative product rating can be derived from the product opinions mined. ALOSI takes opinion mining to a deeper level performing opinion
15#
發(fā)表于 2025-3-24 04:26:52 | 只看該作者
Adaptive Artificial Bee Colony (AABC)-Based Malignancy Pre-Diagnosis,and the timely prognosis. Hence, early detection of anomalous malignant cells is needed for pre-diagnosis of lung cancer as it plays a major role in the prognosis and treatment. In this work, an innovative pre-diagnosis approach is suggested, wherein the size of the dataset comprising risk factors a
16#
發(fā)表于 2025-3-24 07:23:55 | 只看該作者
17#
發(fā)表于 2025-3-24 12:26:12 | 只看該作者
Classifying Bipolar Personality Disorder (BPD) Using Long Short-Term Memory (LSTM),pportunities in psychiatry where the diagnosis relies on the historical data of patients as well as the states of mood that increase the complexity of distinguishing between bipolar disorder and borderline disorder during diagnosis. This paper is inspired by prior work where the symptoms were treate
18#
發(fā)表于 2025-3-24 15:54:56 | 只看該作者
An IoT-Based Fog Computing Approach for Retrieval of Patient Vitals,r technologies for an efficient use. Cloud computing has been a greater part in Internet of Things, since all the data from the sensors are stored in the cloud for later retrieval or comparison. To retrieve time-sensitive data to end users within a needed time, fog computing plays a vital role. Due
19#
發(fā)表于 2025-3-24 19:13:32 | 只看該作者
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發(fā)表于 2025-3-25 01:40:51 | 只看該作者
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