Journal's Facebook pageForthcoming articles
Regular papers
Segmentation of COVID-19 CT Lesions in CT Scans through Transfer Learning
Symeon Psaraftis-Souranis, Christos Troussas, Athanasios Voulodimos and Cleo Sgouropoulou
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Psaraftis-Souranis, S., Troussas, C., Voulodimos, A., Sgouropoulou, C.: Segmentation of COVID-19 CT Lesions in CT Scans through Transfer Learning. Computer Science and Information Systems
Topic-oriented Sarcasm Detection via Entity Knowledge-based Prompt Learning
Yuhao Zhou, Shunxiang Zhang, Caiqin Wang, Yanhui Wang, Xiaolong Wang and KuanChing Li
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Zhou, Y., Zhang, S., Wang, C., Wang, Y., Wang, X., Li, K.: Topic-oriented Sarcasm Detection via Entity Knowledge-based Prompt Learning. Computer Science and Information Systems
A New Course Difficulty Index (CDf): Framework and Application
Konstantinos Kelesidis, Leonidas Karamitopoulos and Dimitris A. Dervos
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Kelesidis, K., Karamitopoulos, L., Dervos, D. A.: A New Course Difficulty Index (CDf): Framework and Application. Computer Science and Information Systems
Anomalous Traffic Identification Method for POST Messages Based on Gambling Website Templates
Zhimin Feng, Dezhi Han, Songyang Wu, Wenqi Sun and Shuxin Shi
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Feng, Z., Han, D., Wu, S., Sun, W., Shi, S.: Anomalous Traffic Identification Method for POST Messages Based on Gambling Website Templates. Computer Science and Information Systems
Special issue on Conputer systems and resource awareness
Editorial
Gordana Rakić, Maja H. Kirkeby and Padma Iyenghar
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Rakić, G., Kirkeby, M. H., Iyenghar, P.: Editorial. Computer Science and Information Systems
Resource-Aware Object Detection and Recognition Using Edge AI Across the Edge-Fog Computing Continuum
Dragan Stojanović, Stefan Sentić, Natalija Stojanović and Teodora Stamenković
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Stojanović, D., Sentić, S., Stojanović, N., Stamenković, T.: Resource-Aware Object Detection and Recognition Using Edge AI Across the Edge-Fog Computing Continuum. Computer Science and Information Systems
Demystifying Power and Performance Variations in GPU Systems through Microarchitectural Analysis
Burak Topcu, Deniz Karabacak and Işıl Öz
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Topcu, B., Karabacak, D., Öz, I.: Demystifying Power and Performance Variations in GPU Systems through Microarchitectural Analysis. Computer Science and Information Systems
Research on Problem Formulations in Resource-aware Problems Across Scientific Domains and Applications
Paweł Czarnul and Mariusz Matuszek
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Czarnul, P., Matuszek, M.: Research on Problem Formulations in Resource-aware Problems Across Scientific Domains and Applications. Computer Science and Information Systems
Comparison and Analysis of Software and Hardware Energy Measurement Methods for a CPU+GPU System and Selected Parallel Applications
Grzegorz Koszczał, Mariusz Matuszek and Paweł Czarnul
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Koszczał, G., Matuszek, M., Czarnul, P.: Comparison and Analysis of Software and Hardware Energy Measurement Methods for a CPU+GPU System and Selected Parallel Applications. Computer Science and Information Systems
Comprehensive Approach to the Design of Information Systems and Optimization of Technical Solutions according to Many Criteria
Mikhail Tatur, Natalia Novoselova and Marina Lukashevich
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Tatur, M., Novoselova, N., Lukashevich, M.: Comprehensive Approach to the Design of Information Systems and Optimization of Technical Solutions according to Many Criteria. Computer Science and Information Systems
Resource-Aware Design of an IoT Node for Use in Remote Industrial and Hazardous Areas
Petar Rajković, Milan Vesković, Dejan Aleksić and Dragan Janković
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Rajković, P., Vesković, M., Aleksić, D., Janković, D.: Resource-Aware Design of an IoT Node for Use in Remote Industrial and Hazardous Areas. Computer Science and Information Systems
Applying a Hybrid Deployment Strategy for Software Updates to the Manufacturing Execution System Layer
Petar Rajković, Dejan Aleksić, Dragan Janković, Aleksandar Milenković and Anđelija Đorđević
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Rajković, P., Aleksić, D., Janković, D., Milenković, A., Đorđević, A.: Applying a Hybrid Deployment Strategy for Software Updates to the Manufacturing Execution System Layer. Computer Science and Information Systems
Energy-efficiency of software and hardware algorithms
Maja H. Kirkeby, Thomas Krabben, Mathias Larsen, Maria B. Mikkelsen, Mads Rosendahl, Martin Sundman, Tjark Petersen and Martin Schoeberl
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Kirkeby, M. H., Krabben, T., Larsen, M., Mikkelsen, M. B., Rosendahl, M., Sundman, M., Petersen, T., Schoeberl, M.: Energy-efficiency of software and hardware algorithms. Computer Science and Information Systems
