Výsledky vyhledávání - Computer Appl. in Administrative Data Processing

Multi-input CNN-GRU based human activity recognition using wearable sensors Autor Dua, Nidhi, Singh, Shiva Nand, Semwal, Vijay Bhaskar

“… Most of the approaches for HAR involves a good amount of feature engineering and data pre-processing, which in turn requires domain expertise…”
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Customer churn prediction system: a machine learning approach Autor Lalwani, Praveen, Mishra, Manas Kumar, Chadha, Jasroop Singh, Sethi, Pratyush

“… Our proposed methodology, consists of six phases. In the first two phases, data pre-processing and feature analysis is performed…”
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Future directions for chatbot research: an interdisciplinary research agenda Autor Følstad, Asbjørn, Araujo, Theo, Law, Effie Lai-Chong, Brandtzaeg, Petter Bae, Papadopoulos, Symeon, Reis, Lea, Baez, Marcos, Laban, Guy, McAllister, Patrick, Ischen, Carolin, Wald, Rebecca, Catania, Fabio, Meyer von Wolff, Raphael, Hobert, Sebastian, Luger, Ewa

“…Chatbots are increasingly becoming important gateways to digital services and information—taken up within domains such as customer service, health, education,…”
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Nature inspired meta heuristic algorithms for optimization problems Autor Vinod Chandra, S S, Anand, H S

“… Processing time and utilizing memory is very high for the currently available data. This is due to its size and the need for scaling from zettabyte to yottabyte…”
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A survey of word embeddings based on deep learning Autor Wang, Shirui, Zhou, Wenan, Jiang, Chao

“…The representational basis for downstream natural language processing tasks is word embeddings, which capture lexical semantics in numerical form to handle the abstract semantic concept of words…”
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Trust-driven reinforcement selection strategy for federated learning on IoT devices Autor Rjoub, Gaith, Wahab, Omar Abdel, Bentahar, Jamal, Bataineh, Ahmed

“…Federated learning is a distributed machine learning approach that enables a large number of edge/end devices to perform on-device training for a single machine learning model, without having to share their own raw data…”
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Optimized IoT service placement in the fog Autor Skarlat, Olena, Nardelli, Matteo, Schulte, Stefan, Borkowski, Michael, Leitner, Philipp

“…The Internet of Things (IoT) leads to an ever-growing presence of ubiquitous networked computing devices in public, business, and private spaces. These devices…”
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Application of deep reinforcement learning in stock trading strategies and stock forecasting Autor Li, Yuming, Ni, Pin, Chang, Victor

“… This paper put forward a theory of deep reinforcement learning in the stock trading decisions and stock price prediction, the reliability and availability of the model are proved by experimental data…”
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A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems Autor Hameed, Abdul, Khoshkbarforoushha, Alireza, Ranjan, Rajiv, Jayaraman, Prem Prakash, Kolodziej, Joanna, Balaji, Pavan, Zeadally, Sherali, Malluhi, Qutaibah Marwan, Tziritas, Nikos, Vishnu, Abhinav, Khan, Samee U., Zomaya, Albert

“…, network bandwidth, processing speed, response time, etc.). Several recent papers have tried to address the issue of improving energy efficiency in allocating cloud resources to applications with varying degree of success…”
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Energy-makespan optimization of workflow scheduling in fog–cloud computing Autor Ijaz, Samia, Munir, Ehsan Ullah, Ahmad, Saima Gulzar, Rafique, M. Mustafa, Rana, Omer F.

“…The rapid evolution of smart services and Internet of Things devices accessing cloud data centers can lead to network congestion and increased latency…”
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Edge computing: current trends, research challenges and future directions Autor Carvalho, Gonçalo, Cabral, Bruno, Pereira, Vasco, Bernardino, Jorge

“…The edge computing (EC) paradigm brings computation and storage to the edge of the network where data is both consumed and produced…”
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An improved YOLO-based road traffic monitoring system Autor Al-qaness, Mohammed A. A., Abbasi, Aaqif Afzaal, Fan, Hong, Ibrahim, Rehab Ali, Alsamhi, Saeed H., Hawbani, Ammar

“…The growing population in large cities is creating traffic management issues. The metropolis road network management also requires constant monitoring, timely…”
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Artificial intelligence to automate the systematic review of scientific literature Autor de la Torre-López, José, Ramírez, Aurora, Romero, José Raúl

“… AI provides methods to represent and infer knowledge, efficiently manipulate texts and learn from vast amount of data…”
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A modified DeepWalk method for link prediction in attributed social network Autor Berahmand, Kamal, Nasiri, Elahe, Rostami, Mehrdad, Forouzandeh, Saman

“…The increasing growth of online social networks has drawn researchers' attention to link prediction and has been adopted in many fields, including computer sciences, information science, and anthropology…”
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AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges Autor Rohmetra, Honnesh, Raghunath, Navaneeth, Narang, Pratik, Chamola, Vinay, Guizani, Mohsen, Lakkaniga, Naga Rajiv

“…The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many parts of the world. Healthcare professionals are not only over-burdened…”
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Task scheduling in edge-fog-cloud architecture: a multi-objective load balancing approach using reinforcement learning algorithm Autor Ramezani Shahidani, Fatemeh, Ghasemi, Arezoo, Toroghi Haghighat, Abolfazl, Keshavarzi, Amin

“…The rapid development of internet of things (IoT) gadgets and the increase in the rate of sending requests from these devices to cloud data centers resulted…”
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A hybrid machine learning model for intrusion detection in VANET Autor Bangui, Hind, Ge, Mouzhi, Buhnova, Barbora

“… However, dealing with a large amount of vehicular data that keep growing in the urban environment is still an critical challenge for IDSs…”
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Dynamic energy-efficient scheduling for streaming applications in storm Autor Li, Hongjian, Dai, Hongxi, Liu, Zengyan, Fu, Hao, Zou, Yang

“… The proliferation of data has brought about a huge increase in the energy consumption for data processing especially in real-time processing framework for big data…”
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Time and activity sequence prediction of business process instances Autor Polato, Mirko, Sperduti, Alessandro, Burattin, Andrea, Leoni, Massimiliano de

“…The ability to know in advance the trend of running process instances, with respect to different features, such as the expected completion time, would allow…”
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Balanced multi-perspective checking of process conformance Autor Mannhardt, Felix, de Leoni, Massimiliano, Reijers, Hajo A., van der Aalst, Wil M. P.

“… observed. Existing conformance checking approaches tend to focus on the control-flow in a process, while abstracting from data dependencies, resource assignments, and time constraints…”
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