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ORCIDIEEE SCC 2023: Chicago, IL, USA
- Claudio A. Ardagna, Nimanthi L. Atukorala, Carl K. Chang, Jing Fan, Geoffrey C. Fox, Sumi Helal, Zhi Jin, Qinghua Lu, Tiberiu Seceleanu, Stephen S. Yau:
IEEE International Conference on Software Services Engineering, SSE 2023, Chicago, IL, USA, July 2-8, 2023. IEEE 2023, ISBN 979-8-3503-4075-4 - Mahmoud M. Abouzeid, Pei-Shu Huang, Feng-Jian Wang:
A Method to Improving Artifact Anomaly Detection in a Temporal Structured Workflow. 1-9 - Amirali Amiri, Uwe Zdun:
Smart and Adaptive Routing Architecture: An Internet-of-Things Traffic Manager Based on Artificial Neural Networks. 1-11 - Hang Zhao, Helen Paik, Qin Wang
, Shining Chen:
SID: Service Identification and Discovery Framework for Decentralised Supply Chains. 1-9 - Alan Colman, Anton V. Uzunov, Quoc Bao Vo, Mohan Baruwal Chhetri:
Agent Controlled Service Meshes for Resilient, Self-Adaptive Microservice Systems. 1-7 - Javier Romero-Álvarez, Jaime Alvarado-Valiente, Enrique Moguel, José García-Alonso, Juan Manuel Murillo:
A Workflow for the Continuous Deployment of Quantum Services. 1-8 - Hongyi Bian, Rong N. Chang, Kumar Bhaskaran, Wensheng Zhang, Carl K. Chang:
Distributed and Intelligent API Mediation Service for Enterprise-Grade Hybrid-Multicloud Computing. 1-11 - Tommi Aihkisalo, Anu Purhonen, Ilkka Niskanen:
Deep Learning Machine Vision Solutions for Monitoring Safety Structures to Supplement Building Information Models. 1-10 - Myunghwan Byun, Jeyoun Dong:
Approaches to Usability Improvement of Teaching for the Collaborative Robot. 1-5 - Ryo Tochimoto, Katsunori Oyama, Hua Ming:
Development of an IoT Camera System for Situation Recognition of Approaching Animals. 1-6 - Yanli Li, Chongbin Ye, Huaming Chen, Shiping Chen, Minhui Xue, Jun Shen:
Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact. 1-10 - Miguel Millan, Ruochen Liu, Ming Hua:
Connecting Cloud Computing and Machine Learning Through Functional Situation-Awareness: A User-Centric Smart Monitoring Application. 1-5 - Abdessalam Elhabbash, Kamil Rogoda, Yehia Elkhatib:
MARTIN: An End-to-end Microservice Architecture for Predictive Maintenance in Industry 4.0. 10-19 - Suranjana Samanta, Prateeti Mohapatra, Fabian Lim, Meenakshi Madugula, Xiaotong Liu, Sarasi Lalithsena:
LogInsights - Understanding and Extracting Information from Logs for Fast Fault Classification by Weak Supervision. 20-26 - Wentao Wang, Chengshuai Fan, Zhongjie Pan, Jun Tian:
SLOTSA: A Multi-Strategy Improved Tunicate Swarm Algorithm for Engineering Constrained Optimization Problems. 35-42 - Boris Sedlak, Victor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar:
Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies. 43-49 - Ilham A. Qasse, Shailesh Mishra, Björn Þór Jónsson, Foutse Khomh, Mohammad Hamdaqa:
Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts. 50-60 - Victor Casamayor-Pujol, Schahram Dustdar:
Towards a Prime Directive of SLOs. 61-70 - Claudio A. Ardagna, Nicola Bena:
Non-Functional Certification of Modern Distributed Systems: A Research Manifesto. 71-79 - Amine El Malki, Uwe Zdun:
Automated Pattern-Based Recommendation for Improving API Operation Performance and Reliability in Cloud-Based Architectures. 80-88 - Yuxiang Zeng, Yuhui Li, Zhiyu Xia, Zibo Du, Jialin Wang, Ruimin Lian, Jianlong Xu:
QoSEraser: A Data Erasable Framework for Web Service QoS Prediction. 89-97 - Changxin Bai, Junwen Liu, Anik Tahabilder, M. M. Imran, Shiyong Lu, Dunren Che:
A Generic Efficient Scientific Workflow Engine for the Optimizations of Run-Time Execution. 98-103 - Niranjan Marathe, Lawrence Chung, Tom Hill:
Implementing Cross-Organizational FDA Medical Device Design Controls Using Blockchain. 104-113 - Khaled Mahmud, Kyle Galway, Edward Sykes, Brad Tizard:
A Service Model of Predictive Maintenance for Autonomous and Connected Vehicles Using 5G. 125-127 - Brandon Dominique, Kaoutar El Maghraoui, David Piorkowski, Lorraine Herger:
FactSheets for Hardware-Aware AI Models: A Case Study of Analog In Memory Computing AI Models. 148-158 - Hongyi Bian, Wensheng Zhang, Carl K. Chang:
Situ-Oracle: A Learning-Based Situation Analysis Servicing Framework for BIoT Systems. 159-169 - Yawen Li, Xiaoning Sun, Yunni Xia, Peng Chen, Yin Li, Qinglan Peng:
M-MNFT: A Novel Modified (m, n)-Fault Tolerance Approach for Service Migration in Vehicular Edge Computing. 170-179 - Saad Sajid Hashmi, Hoa Khanh Dam, Anton V. Uzunov, Mohan Baruwal Chhetri, Aditya Ghose, Alan Colman:
Goal-Driven Adversarial Search for Distributed Self-Adaptive Systems. 198-209 - Ai Ishida, Yasuharu Katsuno, Akihiko Tozawa, Shin Saito:
Automatically Refactoring Application Transactions for Microservice-Oriented Architecture. 210-219 - Sumi Helal:
Democratizing AI and IoT Through Software Services Engineering: A Carl K. Chang Symposium Keynote Abstract. 220-221 - Mst. Shapna Akter, Hossain Shahriar, Iysa Iqbal, Md Faruque Hossain, M. A. Karim, Victor Clincy, Razvan Voicu:
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks Using a Malware Dataset: A Comparative Analysis. 222-231 - Dejan S. Milojicic:
The Art of Prediction. 232-241 - Vladimir Getov:
Component-Based Message Passing for Java: Developments, Achievements, and Impact. 251-255 - Talal Halabi, Mohammad Zulkernine:
The Ultimate Battle Against Zero-Day Exploits: Toward Fully Autonomous Cyber-Physical Defense. 256-261 - Lin Liu, Haihua Xie, Jingwei Yang, Yanni Li:
Building Smart Systems to Satisfice User Intention in Situ: A Look Back to the Future. 262-271 - Lin He, Masud Rabbani, Maria Valero, Sheikh Iqbal Ahamed:
Competitive State Anxiety Inventory Assessment Using Remote Photoplethysmography and Deep Learning. 277-284 - Tse-Chuan Hsu, William Cheng-Chung Chu, Yao-Hsien Tseng, Shou-Yu Lee, Shyh-Wei Chen:
Analyzing and Researching the Intermediate Layer of Alliance Medical Data Combined with Edge Computing. 285-290 - Abay Wu, Mark Yang, Tsang Ming Jiang:
Silicon as a Service and its Economic Impact. 302-304 - Kun-Yu Lin, Pei-Yi Liu, Po-Kai Wang, Chih-Lin Hu, Ying Cai:
Predicting Road Traffic Risks with CNN-and-LSTM Learning Over Spatio-Temporal and Multi-Feature Traffic Data. 305-311
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last updated on 2024-11-06 20:18 CET by the dblp team
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