FedCSIS @FedCSIS

FedCSIS conference series is organized by IEEE PS C-16 (Computer Society) Chapter, publication: IEEE DL, indexed: Web of Science fedcsis.org Kraków, Poland Joined September 2014

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Scalable Computing: Practice and Experience @ScalableAnd

5 days ago

How can #IoT and #DeepLearning improve #hygiene in smart lavatories? Can #RaspberryPi sensors and #LSTM boost real-time monitoring and cleaning alerts? Read more in a special issue paper published in #SCPE, Vol. 26, No. 3, ISSN 1895-1767: tinyurl.com/337ew25r

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Scalable Computing: Practice and Experience @ScalableAnd

6 days ago

How can #multiagent #iterativealgorithms improve dynamic #jobscheduling in #intelligentmachining for efficient #productionline #collaborativecontrol? Read more in a special issue paper published in #SCPE, Vol. 26, No. 3, ISSN 1895-1767: tinyurl.com/4zekcn3c

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Scalable Computing: Practice and Experience @ScalableAnd

7 days ago

How does the proposed #DeepLearning and #RandomForest based #ElectricalLoadPrediction model improve accuracy and reduce time in #ShortTermLoadForecasting? Read more in a research paper published in #SCPE, Vol. 26, No. 3, ISSN 1895-1767: tinyurl.com/fce5f3x8

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Annals of Computer Science and Information Systems @annals_csis

5 days ago

Evaluating a caption generation model's performance using the #BLEU Score metric: “DICKT—#DeepLearning-Based #ImageCaptioning using #Keras and #TensorFlow“ by PT Vi, S. Mishra, LA Ngoc, S. Mishra, VM Phuc. ACSIS Vol. 38 p. 105–110; tinyurl.com/5rpnkuf8

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Annals of Computer Science and Information Systems @annals_csis

5 days ago

Finding the best model for anticipating jobless rates: “#UnemploymentRate Future Forecasting Using Supervised #MachineLearning Models“ by N. Vinaya, VK Solanki, L AJ Prabhu, S.Balakrishna. ACSIS Vol. 38 p. 111–114; tinyurl.com/yr7w4jah

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Annals of Computer Science and Information Systems @annals_csis

4 days ago

Developing a reliable testing and #diagnosticmethod that allows to classify the signs and symptoms of the #Parkinsonsdisease: “Utilizing #FlexSensors for the Evaluation of Parkinson's Disease“ by Q. Vu, TH Dao, MC Nguyen, DT Tran. ACSIS Vol. 38 p. 115–120; tinyurl.com/uws9m6w4

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Algorithms MDPI @Algorithms_MDPI

a week ago

#Daily_Share Welcome to read and share the newly published paper "Forecasting the Remaining Useful Life of Lithium-Ion Batteries Using Machine Learning Models—A Web-Based Application". Read via: mdpi.com/1999-4893/18/6…

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Information MDPI @InformationMDPI

a week ago

Read #NewPaper "Secret Cryptographic Key Sharing Through the Integer Partition Function" from Daniel Fernandes da Nobrega, et al. See more details at: mdpi.com/2078-2489/16/8… #cryptography #integer_partitions @ComSciMath_Mdpi

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aerOS project @AerosProject

a week ago

#LearnaboutaerOS 📌 Join us at AIOTI DAYS 2025 for a deep dive into the hourglass approach in standardization—boosting scalability & interoperability in EU-funded projects & infrastructure policies! 🔗 aioti.eu/aioti-days-202… @EU_CloudEdgeIoT @AIOTI_EU @UPV @HorizonEU

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Information MDPI @InformationMDPI

a week ago

Read #Paper "A Survey on Using Linguistic Markers for Diagnosing Neuropsychiatric Disorders with Artificial Intelligence" by Ioana-Raluca Zaman, and Stefan Trausan-Matu. See more details at: mdpi.com/2078-2489/15/3… #neuropsychiatric_disordersy @ComSciMath_Mdpi

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Annals of Computer Science and Information Systems @annals_csis

a week ago

Enhancing consumer #complaintmanagement with #machinelearning: “MACCHIEF—Machine learning-based Algorithm #Classification for Complaint Handling and Improved Efficiency in Firms“ by VD Trung, YCToh, S. Mishra, LA Ngoc, PT Vi. ACSIS Vol. 38 p. 99–103; tinyurl.com/2rp2k2pc

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Annals of Computer Science and Information Systems @annals_csis

a week ago

Discussing different #ML techniques for #pulsarstar #classification, identification, and more: “Emerging Trends In Pulsar Star Studies: A Synthesis Of Machine Learning Techniques In Pulsar Star Research“ by S. Thanu, Dr. V. Subha. ACSIS Vol. 38 p. 93–98; tinyurl.com/2b58jc64

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Annals of Computer Science and Information Systems @annals_csis

2 weeks ago

Using #machinelearning strategies to predict employee churn/attrition: “Machine Learning Approach for Forecasting #JobAppeasement and #EmployeeCorrosion“ by MS Swetha, S Mahalakshmi, SK Pushpa, A. T Madihalli, Ananya, A. Bhardwaj. ACSIS Vol. 38 p. 85–91; tinyurl.com/2zsaet79

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Annals of Computer Science and Information Systems @annals_csis

2 weeks ago

Examining the integration of #BigData Analytics and #IoT in #healthcare: “Survey of Big Data Analytics in IoT-Driven Healthcare Applications: A Comparative Approach“ by J R Shruti, Shubha Vibhu Malige. ACSIS Vol. 38 p. 79–84; tinyurl.com/bdf3r2xw

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Scalable Computing: Practice and Experience @ScalableAnd

a week ago

How can #AI improve #HumanReliability and dynamically evaluate #ManufacturingCapability in #Industry5_0 using combined weighting and time series analysis? Read more in a special issue paper published in #SCPE, Vol. 26, No. 3, ISSN 1895-1767: tinyurl.com/399eheyr

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Algorithms MDPI @Algorithms_MDPI

2 weeks ago

#Daily_Share Welcome to read and share the new paper "Benchmarking Multiple Large Language Models for Automated Clinical Trial Data Extraction in Aging Research". This paper is written by Richard J. Young, Alice M. Matthews and Brach Poston. Read via: mdpi.com/1999-4893/18/5…

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Information MDPI @InformationMDPI

2 weeks ago

Read #HighlyCitedArticle "Federated Edge Intelligence and Edge Caching Mechanisms" by Aristeidis Karras, et al. See more details at: mdpi.com/2078-2489/14/7… #edge_intelligence @ComSciMath_Mdpi

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Scalable Computing: Practice and Experience @ScalableAnd

2 weeks ago

How can #DeepLearning improve #SupplyChainManagement and optimize #StrategicMarketing using a #BalancedScorecard and the #LMBP algorithm? Read to find out! Read more in a special issue paper published in #SCPE, Vol. 26, No. 3, ISSN 1895-1767: tinyurl.com/4tm3z7yc

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Annals of Computer Science and Information Systems @annals_csis

2 weeks ago

Implementing a supply chain for agricultural products using #Blockchain to track and tackle the price fluctuation: “#SupplyChain for #AgricultureProducts Using Blockchain Technology“ by PB Shankar, M. B. Reddy, YD Vani. ACSIS Vol. 38 p. 73–77; tinyurl.com/46czyypa

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Annals of Computer Science and Information Systems @annals_csis

2 weeks ago

Presenting a thorough rundown of #dataaggregation methods in the context of #IoT: “Data Aggregation Techniques and Challenges in the Internet of Things: A Comprehensive Review“ by F. Shaheen, A. Jameel. ACSIS Vol. 38 p. 63–72; tinyurl.com/4fvbmutf