Explore a novel approach for detecting credit card fraud using a semi-supervised attribute-driven graph representation. The technique leverages temporal aggregation and attention layers to automatically unify heterogeneous categorical attributes and detect fraudulent transactions without label leaka

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This research focuses on a system, known as ATPP, based on deep marked temporal point processes, designed for predicting mobile app usage patterns. By leveraging deep reinforcement learning frameworks and context-aware modules, the system aims to predict the next app a user will open, along with its

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This session delves into strategies for fostering effective mentoring and coaching relationships, emphasizing the importance of considering power dynamics, goal-setting, and fostering independence in proteges. Mentoring relationships are seen as socially constructed power dynamics that can advantage

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Explore the realm of temporal data in TSQL queries, delving into the concepts of valid time and transaction time, different types of relations like snapshot and bi-temporal, and the significance of time dimensions in database management. Learn how temporal databases support time-related queries for

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Dynamics 365 Online Training - Visual Path offers the Best D365 Ax Technical Online Training conducted by real-time experts.Our Dynamics 365 Online Training is available in Hyderabad and is provided to individuals globally in the USA, UK, Canada, Dubai, and Australia. Contact us at 91-9989971070.\n

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Dynamics 365 Online Training - Visual Path offers the Best D365 Ax Technical Online Training conducted by real-time experts.Our Dynamics 365 Online Training is available in Hyderabad and is provided to individuals globally in the USA, UK, Canada, Dubai, and Australia. Contact us at 91-9989971070.\n

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Dynamics 365 Online Training - Visual Path offers the Best D365 Ax Technical Online Training conducted by real-time experts.Our Dynamics 365 Online Training is available in Hyderabad and is provided to individuals globally in the USA, UK, Canada, Dubai, and Australia. Contact us at 91-9989971070.\n

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This paper introduces the Localised Adaptive Spatial-Temporal Graph Neural Network model, focusing on the importance of spatial-temporal data modeling in graph structures. The challenges of balancing spatial and temporal dependencies for accurate inference are addressed, along with the use of distri

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Microsoft Dynamics AX Training - Visualpath offers the best Dynamics 365 Online Training delivered by experienced industry experts. Our training courses are delivered globally, with daily recordings and presentations available for later review. To book a free demo session, please call us at 91-9989

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Exploring the dual dynamics of quantum black holes reveals new perspectives on black hole evaporation. By placing black holes on branes, we can study their classical picture in higher dimensions. This approach provides insights that were previously unattainable, leading to a better understanding of

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The spatial and temporal distribution of temperatures plays a crucial role in determining weather patterns, climates, vegetation zones, and wildlife habitats. Factors such as latitude, altitude, distance from the coast, and prevailing winds influence the distribution of temperature both horizontally

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Environmental geography encompasses the study of ecosystems, temporal changes, global environmental issues, human impacts, degradation, and more. It examines human-nature interactions and spatial dynamics, providing essential tools for assessing environmental impacts and management strategies.

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Visual systems utilize saccades to focus on objects, impacting temporal perception. This study explores the effects of saccades and stimulus location on perceived time, presenting findings from an experiment on temporal perception mapping with fixed visual duration. The method of psychometric functi

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Temporal entities and the modeling of simultaneity in CIDOC CRM are under discussion at the upcoming meeting. The current approach considers the cardinality of certain relations, aiming to streamline the representation of time-spans and spacetime volumes. The evolving perspectives on the spatial com

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This content delves into the intricacies of temporal and spatial information models, covering concepts such as existence, presence, and spatiotemporal relationships. It explores how entities are identified, events are witnessed, and durations are defined within these models. The interplay between ti

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Dynamics 365 Online Training - Visual Path offers D365 Ax Technical Online Training conducted by real-time experts. Our Dynamics 365 Online Training is available in Hyderabad and is provided globally. For more info Contact us at 91-9989971070.\nVisi

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Explore the intricate dynamics of signaling games and evolutionary strategies like Lewis signaling games, Hamilton Maynard Smith theories, and replicator dynamics. Witness the evolution of signaling strategies through simulations and understand the role of replicator dynamics in population interacti

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Explore advanced concepts in temporal point processes through the lens of human-centered machine learning. Topics include marked temporal point processes, independent identically distributed marks, dependent marks, and mutually exciting marks. Learn about stochastic dynamical systems such as the Sus

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This research focuses on efficient selectivity estimation on streaming spatio-textual data by incorporating local correlations. It addresses the challenge of estimating the number of objects in a query region with specific keywords in real-time. The study proposes novel approaches like ASP-tree and

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Explore the significance of GPUs in modern systems, with emphasis on their widespread adoption and performance improvements over the years. The focus is on the need for low-power adders in GPUs due to high arithmetic intensity in GPU workloads.

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Measurement plays a crucial role in data centers for fault diagnosis, traffic engineering, and attack detection. This study focuses on the concept of temporal coordination of measurement to overcome issues like reporting overhead and resource wastage. Various examples illustrate the importance of co

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An advanced framework integrating terrestrial and coastal ocean observations and modeling is developed to support carbon management decisions. The study focuses on assessing the impacts of land use, human activities, and climate scenarios on the carbon cycle, particularly dissolved inorganic carbon

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Delve into the intriguing concepts surrounding temporal parts, paradoxes of time travel, the relationship between time and change, the impossibility of changing the past, and the arguments presented by David Lewis on the logical constraints of time travel. Discover the complexities of time perceptio

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This study conducted at the Indian Institute of Technology Roorkee focuses on modeling and understanding hydrological processes, particularly in estimating antecedent moisture in the Runoff Curve Number methodology. The research delves into the historical background of the Soil Conservation Service

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Microsoft Dynamics 365 offers Enterprise and Business editions, unifying CRM, ERP, and financial applications. New customers can benefit from special transition offers when moving from Oracle, SAP, or Salesforce. Existing CRM Online and On-Premises customers have options to transition to Dynamics 36

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In the context of training recurrent networks, Epochwise Back Propagation Through Time involves dividing the data set into independent epochs, each representing a specific temporal pattern of interest. The start time of each epoch, denoted by 'no', is crucial for capturing the sequential dependencie

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This content delves into the broad-scale and cross-scale ecosystem processes on land and in the ocean, exploring their temporal variations influenced by underlying structures, biodiversity, and climate. It emphasizes the importance of considering structure, function, and climate response simultaneou

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The Law & Race Speaker Series on applying past laws to ongoing wrongs explores the complexities of seeking reparations for historic enslavement. The discussion delves into the inter-temporal considerations, touching on reparation claims by CARICOM, the impact of transatlantic chattel slavery on glob

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Explore the methodology of determining bubble size distribution in fluid beds through Magnetic Particle Tracking (MPT). Learn about MPT key features, information obtained from 3D trajectory data, and the application of MPT for characterizing fluidized solids behavior. The usage of magnetic tracers a

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Group dynamics, as pioneered by Kurt Lewin, explores the intricate processes and influences within groups. It delves into group purpose, communication patterns, power dynamics, and member roles. The concept emphasizes how social forces impact group interactions and outcomes. From physical and non-ph

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This study focuses on detecting deviant behavior in autonomous agents using spatio-temporal traces and behavior patterns. It explores the challenges of recognizing activities and representing complex behaviors, emphasizing the need for multi-view detectors and accumulators for comprehensive behavior

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In this informative content, various aspects of Intelligent Transportation Systems (ITS) are discussed, including safety applications to make drivers aware of unseen hazards, efficiency/convenience/mobility applications for on-route traffic and weather conditions, environmental/energy applications s

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Explore the concepts of temporal data models and time dimensions in databases, covering topics such as data structures, query languages, different timestamp types, valid time, and transaction time. Learn about the importance of supporting various time aspects in database systems and the complexities

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This document delves into the dynamics, simulation, and control aspects in Klamp't, covering key concepts, toolkit components, robot modeling, planning, 3D mathematics, and more. It explains how to perform forward/inverse dynamics, simulate rigid body physics, and emulate sensors. The content also d

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The Abstract Semi-Supervised Temporal Action Localization (SS-TAL) framework aims to enhance the generalization capability of action detectors using large-scale unlabeled videos. Despite recent progress, a significant challenge persists due to noisy pseudo-labels hindering efficient learning from ab

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Explore the definitions, relationships, and properties of spacetime volume, temporal information, and their components like time spans and entities. Learn about how events are witnessed and defined within specific spatiotemporal contexts.

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Dependent Motion and Relative Motion are fundamental concepts in Dynamics, providing the foundation for future analysis. Dependent Motion involves constraints like ropes or cables, while Relative Motion considers observers in motion. Dynamics involves applying a limited set of equations in diverse w

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\nVisualpath offers the best Microsoft Dynamics AX Technical Training worldwide. This Microsoft AX Training covers key technical aspects, providing hands-on experience with tools, development environments, and business logic essential for Dynamics AX

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This research focuses on transportation mode recognition and user identification by analyzing GPS and accelerometer data. The study involves data collection from varying conditions with over 500 trips and 150 hours of data, processed using spatio-temporal techniques. Features such as mean, deviation

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This research paper discusses a novel spatio-temporal indexing scheme optimized for managing large-scale GPS data. The study introduces a stochastic process model to simulate user behavior in uploading GPS tracks, leading to a more efficient indexing scheme with smaller size, minimal update efforts,

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