Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amol Goje,Alfred M. Bruckstein Conference proceedings 2023 The

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A Smart System to Classify Walking and Sitting Activities Based on EEG Signalosed to generate control signal for the artificial limb which is aimed help the limb amputees to carry out movements. EEG data is collected from eight healthy male subjects with a mean age of 21 years while they performed walking and sitting actions. The montage activity was captured using seven ele

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Forest Fire Detection and Classification Using Deep Learning Concepts and regulated. The existence of wildfires in the environment is indicated by the deposition of smoke in the atmosphere. Observation of fire is critical in fire alarm systems for reducing losses and other fire hazards with social consequences. To avoid massive fires, effective detectors from visual

FOIL

Study of Cold-Start Product Recommendations and Its Solutionsthese consumers create more and more data of different types (click-through rates, items viewed, time spent, number of purchases, and other metrics.). This extensive collection of data from various users is used only to improve the personalizing experience of the users. These systems that utilize co

GLIDE

Monitoring Urban Flooding Using SAR—A Mumbai Case Studyal cities are getting worse as economic development activities speed up. Moreover, the flooding risk zoning map offers crucial decision support for the management of urban floods, urban development, and urban planning. Urban floods will affect economic growth and people’s life safety. Synthetic Aper

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Do Women Shy Away from Cryptocurrency Investment? Cross-Country Evidence from Survey Databy a central bank. Particularly, we investigate women’s general attitude toward cryptocurrency systems. Results suggest that women invest less into cryptocurrency, show less interest in the future cryptocurrency investment, and see less economic potential in these systems than men do. Further eviden

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Suspicious Event Detection of Cargo Vessels Based on AIS Datae supply chain in global trade. Thus, it is considered to have a timely intervention and monitoring of the ship vessels to get the status of the vessels. This paper discusses the idealogy of the statistical way of analyzing the ship vessel data based on the time difference and the speed over the gro