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2020 – today
- 2024
[c56]Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Kshirasagar Naik, Marzia Zaman, Richard Purcell, Srinivas Sampalli, Thambirajah Ravichandran:
A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction. COMPSAC 2024: 350-359- [i1]Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. Ajila:
Understanding Defects in Generated Codes by Language Models. CoRR abs/2408.13372 (2024) - 2023
- [c55]Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Marzia Zaman, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli:
Forest Fire Prediction Using Multi-Source Deep Learning. BDTA 2023: 135-146 - [c54]Abdul Mutakabbir, Samuel A. Ajila:
Explainable Long-Term Forecasting of Air Pollution. IEEE Big Data 2023: 3794-3802 - [c53]Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila
, Marzia Zaman, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli:
Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data. COMPSAC 2023: 346-351 - [c52]Yao Wei, Chung-Horng Lung, Samuel Ajila, Ricardo Paredes Cabrera:
Deep Q-Networks Assisted Pre-connect Handover Management for 5G Networks. VTC2023-Spring 2023: 1-6 - 2022
- [j14]Samuel A. Ajila, Chung-Horng Lung, Anurag Das:
Analysis of error-based machine learning algorithms in network anomaly detection and categorization. Ann. des Télécommunications 77(5-6): 359-370 (2022) - [c51]Yao Wei, Ricardo Paredes Cabrera, Chung-Horng Lung, Samuel Ajila:
Pre-connect Handover Management for 5G Networks. FNWF 2022: 556-561 - [c50]Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila:
Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach. IEEE Big Data 2022: 3821-3830 - [c49]Andrew Dybka, Dominic Kocjan, Samuel A. Ajila:
A Semisupervised Approach to Predicting a Twitch Streamer's Growth based on the Game Streamed. IEEE Big Data 2022: 4110-4119 - [c48]Michael Fan, Omar Imran, Arka Singh, Samuel A. Ajila:
Using CNN-LSTM Model for Weather Forecasting. IEEE Big Data 2022: 4120-4125 - [c47]Olusoji Akinrinade, Chunglin Du, Samuel Ajila, Toluwase A. Olowookere:
Deep Learning and Few-Shot Learning in the Detection of Skin Cancer: An Overview. FTC (1) 2022: 275-286 - [c46]Olusoji B. Akinrinade, Chunglin Du, Samuel Ajila:
Using KullBack-Liebler Divergence Based Meta-learning Algorithm for Few-Shot Skin Cancer Image Classification: Literature Review and a Conceptual Framework. ICACDS (2) 2022: 100-111 - [c45]Samuel A. Ajila:
Multilayer Meta-Learning Approach to Forecasting Air Pollutants. IRI 2022: 69-74 - [c44]Chandan Sai Chebrolu, Chung-Horng Lung, Samuel A. Ajila:
Dynamic Packet Filtering Using Machine Learning. IRI 2022: 206-211 - [c43]François Blanc, Azhar Syed, Ali Mohammadi Esfahani, Sandeep Reddy Venna, Samuel A. Ajila:
A Deep Learning Sequential-based Model for Predicting Victories in Video Games. IRI 2022: 212-213 - 2021
- [c42]Samuel A. Ajila, Karthik Dilliraj:
Forecasting Air Pollution using a Modified Compositional Learning Approach. IEEE BigData 2021: 3992-4001 - [c41]Samuel A. Ajila, Nidheesh Vijay:
Evaluating Deep Neural Nets and Optimized Hyperparameters Random Forest for Decision Support Systems. IRI 2021: 17-24 - 2020
- [c40]Niyati R. Darji, Samuel A. Ajila:
Increasing Prediction Accuracy for Human Activity Recognition Using Optimized Hyperparameters. IEEE BigData 2020: 2472-2481
2010 – 2019
- 2019
- [j13]Yuqing Qiu, Chung-Horng Lung, Samuel Ajila, Pradeep Srivastava:
Experimental evaluation of LXC container migration for cloudlets using multipath TCP. Comput. Networks 164 (2019) - [j12]Yang Cao, Chung-Horng Lung, Samuel A. Ajila, Xiaolin Li:
Support mechanisms for cloud configuration using XML filtering techniques: A case study in SaaS. Future Gener. Comput. Syst. 95: 52-67 (2019) - [c39]Anurag Das, Samuel A. Ajila, Chung-Horng Lung:
A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection. MLN 2019: 40-57 - 2018
- [j11]Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung:
Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker. J. Cloud Comput. 7: 20 (2018) - [c38]Bhumika Patel, Zaheenabanu Somani, Samuel A. Ajila, Chung-Horng Lung:
Hybrid Relabeled Model for Network Intrusion Detection. iThings/GreenCom/CPSCom/SmartData 2018: 872-877 - 2017
- [j10]Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung:
An autonomic prediction suite for cloud resource provisioning. J. Cloud Comput. 6: 3 (2017) - [c37]Yuqing Qiu, Chung-Horng Lung, Samuel Ajila, Pradeep Srivastava:
LXC Container Migration in Cloudlets under Multipath TCP. COMPSAC (2) 2017: 31-36 - [c36]Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung:
The Impact of Database Layer on Auto-Scaling Decisions in a 3-Tier Web Services Cloud Resource Provisioning. COMPSAC (2) 2017: 401-406 - [c35]Azadeh Etedali, Chung-Horng Lung, Samuel Ajila, Igor Veselinovic:
Automated Constraint-Based Multi-tenant SaaS Configuration Support Using XML Filtering Techniques. COMPSAC (2) 2017: 413-418 - [c34]Xing Fan, Chung-Horng Lung, Samuel A. Ajila:
An Adaptive Diversity-Based Ensemble Method for Binary Classification. COMPSAC (1) 2017: 822-827 - 2016
- [j9]Fikirte Teka, Chung-Horng Lung, Samuel A. Ajila:
Nearby live virtual machine migration using cloudlets and multipath TCP. J. Cloud Comput. 5: 12 (2016) - [j8]Wenjing Han, Chung-Horng Lung, Samuel Ajila:
Using Source Code and Process Metrics for Defect Prediction - A Case Study of Three Algorithms and Dimensionality Reduction. J. Softw. 11(9): 883-902 (2016) - [c33]Man Si, Chung-Horng Lung, Samuel Ajila, Wayne Ding:
An Empirical Investigation of Mobile Network Traffic Data for Resource Management. BigData Congress 2016: 291-298 - [c32]Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung, Wayne Ding:
Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM. BigData Congress 2016: 402-409 - [c31]Wenjing Han, Chung-Horng Lung, Samuel A. Ajila:
Empirical Investigation of Code and Process Metrics for Defect Prediction. BigMM 2016: 436-439 - 2015
- [c30]Ali Yadavar Nikravesh, Samuel Ajila, Chung-Horng Lung:
Evaluating Sensitivity of Auto-Scaling Decisions in an Environment with Different Workload Patterns. COMPSAC 2015: 415-420 - [c29]Yang Cao, Chung-Horng Lung, Samuel A. Ajila:
Constraint-Based Multi-Tenant SaaS Deployment Using Feature Modeling and XML Filtering Techniques. COMPSAC Workshops 2015: 454-459 - [c28]Duo Liu, Chung-Horng Lung, Samuel A. Ajila:
Adaptive Clustering Techniques for Software Components and Architecture. COMPSAC Workshops 2015: 460-465 - [c27]Fikirte Teka, Chung-Horng Lung, Samuel Ajila:
Seamless Live Virtual Machine Migration with Cloudlets and Multipath TCP. COMPSAC 2015: 607-616 - [c26]Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung:
Towards an Autonomic Auto-scaling Prediction System for Cloud Resource Provisioning. SEAMS@ICSE 2015: 35-45 - 2014
- [j7]Samuel A. Ajila, Angad S. Gakhar, Chung-Horng Lung:
Aspectualization of code clones - an algorithmic approach. Inf. Syst. Frontiers 16(5): 835-851 (2014) - [j6]Chung-Horng Lung, Samuel A. Ajila, Wen-Lin Liu:
Measuring the performance of aspect oriented software: A case study of Leader/Followers and Half-Sync/Half-Async architectures. Inf. Syst. Frontiers 16(5): 853-866 (2014) - [c25]Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung:
Measuring Prediction Sensitivity of a Cloud Auto-scaling System. COMPSAC Workshops 2014: 690-695 - [c24]Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung:
Cloud Resource Auto-scaling System Based on Hidden Markov Model (HMM). ICSC 2014: 124-127 - 2013
- [j5]Sajjad Mahmood, Samuel A. Ajila:
The Impact of Native Language on Use Case Modeling : A Controlled Experiment. J. Softw. 8(7): 1577-1585 (2013) - [c23]Abdulaziz Alkhalid, Chung-Horng Lung, Samuel Ajila:
Software architecture decomposition using adaptive K-nearest neighbor algorithm. CCECE 2013: 1-4 - [c22]Akindele A. Bankole, Samuel A. Ajila:
Predicting cloud resource provisioning using machine learning techniques. CCECE 2013: 1-4 - [c21]Yoonsoon Chang, Samuel A. Ajila:
Design and implementation of experimental SPB network simulator on NS-3. CCECE 2013: 1-4 - [c20]Abdulaziz Alkhalid, Chung-Horng Lung, Samuel Ajila:
Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition. CloudCom (2) 2013: 100-105 - [c19]Samuel A. Ajila, Akindele A. Bankole:
Cloud Client Prediction Models Using Machine Learning Techniques. COMPSAC 2013: 134-142 - [c18]Sajjad Mahmood, Samuel A. Ajila:
Software Requirements Elicitation - A Controlled Experiment to Measure the Impact of a Native Natural Language. COMPSAC 2013: 437-442 - [c17]Abdulaziz Alkhalid, Chung-Horng Lung, Duo Liu, Samuel Ajila:
Software Architecture Decomposition Using Clustering Techniques. COMPSAC 2013: 806-811 - [c16]Samuel A. Ajila, Omhenimhen Iyamu:
Efficient live wide area VM migration with IP address change using type II hypervisor. IRI 2013: 372-379 - [c15]Akindele A. Bankole, Samuel A. Ajila:
Cloud Client Prediction Models for Cloud Resource Provisioning in a Multitier Web Application Environment. SOSE 2013: 156-161 - 2012
- [c14]Samuel Ajila, Angad S. Gakhar, Chung-Horng Lung, Marzia Zaman:
Reusing and converting code clones to aspects - An algorithmic approach. IRI 2012: 9-16 - 2011
- [c13]Wen-Lin Liu, Chung-Horng Lung, Samuel Ajila:
Impact of Aspect-Oriented Programming on Software Performance: A Case Study of Leader/Followers and Half-Sync/Half-Async Architectures. COMPSAC 2011: 662-667 - [c12]Samuel A. Ajila:
E-CAL: A formal language for software model evolution. IRI 2011: 212-217 - [c11]Samuel A. Ajila, Ahmed Al-Asaad:
Mobile databases - Synchronization & conflict resolution strategies using SQL server. IRI 2011: 487-489 - 2010
- [c10]Samuel A. Ajila, Dorina C. Petriu, Pantanowitz Motshegwa:
Using Model Transformation Semantics for Aspect Composition. ICSC 2010: 325-332
2000 – 2009
- 2009
- [c9]Samuel A. Ajila, Shahid Alam:
Using a Formal Language Constructs for Software Model Evolution. ICSC 2009: 390-395 - 2008
- [j4]Samuel A. Ajila, Ali B. Kaba:
Evolution support mechanisms for software product line process. J. Syst. Softw. 81(10): 1784-1801 (2008) - 2007
- [j3]Samuel Ajila, Razvan T. Dumitrescu:
Experimental use of code delta, code churn, and rate of change to understand software product line evolution. J. Syst. Softw. 80(1): 74-91 (2007) - [j2]Samuel Ajila, Di Wu:
Empirical study of the effects of open source adoption on software development economics. J. Syst. Softw. 80(9): 1517-1529 (2007) - [c8]Shahid Alam, Samuel A. Ajila:
Using Constraints with Action Language for Model Evolution. Software Engineering Research and Practice 2007: 553-559 - 2006
- [c7]Samuel Ajila:
The impact of firm size on knowledge reuse and exploration during software product development: An empirical study. IRI 2006: 160-165 - 2005
- [c6]Samuel Ajila:
Reusing base product features to develop product line architecture. IRI 2005: 288-293 - 2004
- [c5]Samuel A. Ajila, Peng Xie:
Reverse Engineering C++ Software System - Starting From Code to Design Information and Design Patterns. CCCT (2) 2004: 233-238 - [c4]Razvan T. Dumitrescu, Antonio J. Bailetti, Samuel Ajila:
Experience Report on the Effect of Market Reposition on Product Line Evolution. IRI 2004: 151-156 - [c3]Samuel Ajila, Badara Ali Kaba:
Using Traceability Mechanisms to Support Software Product Line Evolution. IRI 2004: 157-162 - [c2]Samuel Ajila, Zheng Sun:
Knowledge Management: Impact of Knowledge Delivery Factors on Software Product Development Efficiency. IRI 2004: 302-325 - 2003
- [c1]Samuel Ajila, Peng Xie:
DPET - A Simple C++ Design Pattern Extraction Tool. Software Engineering Research and Practice 2003: 588-594
1990 – 1999
- 1995
- [b1]Samuel A. Ajila:
Maintenance logicielle : analyse d'impact, problématique et mise en oeuvre. Henri Poincaré University, Nancy, France, 1995 - [j1]Samuel A. Ajila:
Software Maintenance: An Approach to Impact Analysis of Objects Change. Softw. Pract. Exp. 25(10): 1155-1181 (1995)
Coauthor Index
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last updated on 2024-09-30 00:07 CEST by the dblp team
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