Samuel Ajila

According to our database, Samuel Ajila authored at least 72 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Understanding Defects in Generated Codes by Language Models.

Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. Ajila

CoRR, 2024

A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction.

Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Kshirasagar Naik, Marzia Zaman, Richard Purcell, Srinivas Sampalli, Thambirajah Ravichandran

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Deep Q-Networks Assisted Pre-connect Handover Management for 5G Networks.

Yao Wei, Chung-Horng Lung, Samuel Ajila, Ricardo Paredes Cabrera

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data.

Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Marzia Zaman, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Explainable Long-Term Forecasting of Air Pollution.

Abdul Mutakabbir, Samuel A. Ajila

Proceedings of the IEEE International Conference on Big Data, 2023

Forest Fire Prediction Using Multi-Source Deep Learning.

Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Marzia Zaman, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli

Proceedings of the Big Data Technologies and Applications, 2023

2022

Analysis of error-based machine learning algorithms in network anomaly detection and categorization.

Samuel A. Ajila, Chung-Horng Lung, Anurag Das

Ann. des Télécommunications, 2022

Dynamic Packet Filtering Using Machine Learning.

Chandan Sai Chebrolu, Chung-Horng Lung, Samuel A. Ajila

Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

A Deep Learning Sequential-based Model for Predicting Victories in Video Games.

François Blanc, Azhar Syed, Ali Mohammadi Esfahani, Sandeep Reddy Venna, Samuel A. Ajila

Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

Multilayer Meta-Learning Approach to Forecasting Air Pollutants.

Samuel A. Ajila

Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

Using KullBack-Liebler Divergence Based Meta-learning Algorithm for Few-Shot Skin Cancer Image Classification: Literature Review and a Conceptual Framework.

Olusoji B. Akinrinade, Chunglin Du, Samuel Ajila

Proceedings of the Advances in Computing and Data Sciences - 6th International Conference, 2022

Deep Learning and Few-Shot Learning in the Detection of Skin Cancer: An Overview.

Olusoji Akinrinade, Chunglin Du, Samuel Ajila, Toluwase A. Olowookere

Proceedings of the Future Technologies Conference, 2022

Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach.

Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila

Proceedings of the IEEE International Conference on Big Data, 2022

Using CNN-LSTM Model for Weather Forecasting.

Michael Fan, Omar Imran, Arka Singh, Samuel A. Ajila

Proceedings of the IEEE International Conference on Big Data, 2022

A Semisupervised Approach to Predicting a Twitch Streamer's Growth based on the Game Streamed.

Andrew Dybka, Dominic Kocjan, Samuel A. Ajila

Proceedings of the IEEE International Conference on Big Data, 2022

Pre-connect Handover Management for 5G Networks.

Yao Wei, Ricardo Paredes Cabrera, Chung-Horng Lung, Samuel Ajila

Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021

Evaluating Deep Neural Nets and Optimized Hyperparameters Random Forest for Decision Support Systems.

Samuel A. Ajila, Nidheesh Vijay

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Forecasting Air Pollution using a Modified Compositional Learning Approach.

Samuel A. Ajila, Karthik Dilliraj

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Increasing Prediction Accuracy for Human Activity Recognition Using Optimized Hyperparameters.

Niyati R. Darji, Samuel A. Ajila

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Support mechanisms for cloud configuration using XML filtering techniques: A case study in SaaS.

Yang Cao, Chung-Horng Lung, Samuel A. Ajila, Xiaolin Li

Future Gener. Comput. Syst., 2019

Experimental evaluation of LXC container migration for cloudlets using multipath TCP.

Yuqing Qiu, Chung-Horng Lung, Samuel Ajila, Pradeep Srivastava

Comput. Networks, 2019

A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection.

Anurag Das, Samuel A. Ajila, Chung-Horng Lung

Proceedings of the Machine Learning for Networking, 2019

2018

Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker.

Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung

J. Cloud Comput., 2018

Hybrid Relabeled Model for Network Intrusion Detection.

Bhumika Patel, Zaheenabanu Somani, Samuel A. Ajila, Chung-Horng Lung

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

2017

An autonomic prediction suite for cloud resource provisioning.

Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung

J. Cloud Comput., 2017

LXC Container Migration in Cloudlets under Multipath TCP.

Yuqing Qiu, Chung-Horng Lung, Samuel Ajila, Pradeep Srivastava

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

The Impact of Database Layer on Auto-Scaling Decisions in a 3-Tier Web Services Cloud Resource Provisioning.

Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

An Adaptive Diversity-Based Ensemble Method for Binary Classification.

Xing Fan, Chung-Horng Lung, Samuel A. Ajila

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

Automated Constraint-Based Multi-tenant SaaS Configuration Support Using XML Filtering Techniques.

Azadeh Etedali, Chung-Horng Lung, Samuel Ajila, Igor Veselinovic

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016

Using Source Code and Process Metrics for Defect Prediction - A Case Study of Three Algorithms and Dimensionality Reduction.

Wenjing Han, Chung-Horng Lung, Samuel Ajila

J. Softw., 2016

Nearby live virtual machine migration using cloudlets and multipath TCP.

Fikirte Teka, Chung-Horng Lung, Samuel A. Ajila

J. Cloud Comput., 2016

Empirical Investigation of Code and Process Metrics for Defect Prediction.

Wenjing Han, Chung-Horng Lung, Samuel A. Ajila

Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016

An Empirical Investigation of Mobile Network Traffic Data for Resource Management.

Man Si, Chung-Horng Lung, Samuel Ajila, Wayne Ding

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM.

Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung, Wayne Ding

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015

Towards an Autonomic Auto-scaling Prediction System for Cloud Resource Provisioning.

Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung

Proceedings of the 10th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2015

Seamless Live Virtual Machine Migration with Cloudlets and Multipath TCP.

Fikirte Teka, Chung-Horng Lung, Samuel Ajila

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

Evaluating Sensitivity of Auto-Scaling Decisions in an Environment with Different Workload Patterns.

Ali Yadavar Nikravesh, Samuel Ajila, Chung-Horng Lung

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

Adaptive Clustering Techniques for Software Components and Architecture.

Duo Liu, Chung-Horng Lung, Samuel A. Ajila

Proceedings of the 39th Annual Computer Software and Applications Conference, 2015

Constraint-Based Multi-Tenant SaaS Deployment Using Feature Modeling and XML Filtering Techniques.

Yang Cao, Chung-Horng Lung, Samuel A. Ajila

Proceedings of the 39th Annual Computer Software and Applications Conference, 2015

2014

Measuring the performance of aspect oriented software: A case study of Leader/Followers and Half-Sync/Half-Async architectures.

Chung-Horng Lung, Samuel A. Ajila, Wen-Lin Liu

Inf. Syst. Frontiers, 2014

Aspectualization of code clones - an algorithmic approach.

Samuel A. Ajila, Angad S. Gakhar, Chung-Horng Lung

Inf. Syst. Frontiers, 2014

Cloud Resource Auto-scaling System Based on Hidden Markov Model (HMM).

Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung

Proceedings of the 2014 IEEE International Conference on Semantic Computing, 2014

Measuring Prediction Sensitivity of a Cloud Auto-scaling System.

Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung

Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

2013

The Impact of Native Language on Use Case Modeling : A Controlled Experiment.

Sajjad Mahmood, Samuel A. Ajila

J. Softw., 2013

Cloud Client Prediction Models for Cloud Resource Provisioning in a Multitier Web Application Environment.

Akindele A. Bankole, Samuel A. Ajila

Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

Efficient live wide area VM migration with IP address change using type II hypervisor.

Samuel A. Ajila, Omhenimhen Iyamu

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

Software Requirements Elicitation - A Controlled Experiment to Measure the Impact of a Native Natural Language.

Sajjad Mahmood, Samuel A. Ajila

Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

Software Architecture Decomposition Using Clustering Techniques.

Abdulaziz Alkhalid, Chung-Horng Lung, Duo Liu, Samuel Ajila

Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

Cloud Client Prediction Models Using Machine Learning Techniques.

Samuel A. Ajila, Akindele A. Bankole

Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition.

Abdulaziz Alkhalid, Chung-Horng Lung, Samuel Ajila

Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

Design and implementation of experimental SPB network simulator on NS-3.

Yoonsoon Chang, Samuel A. Ajila

Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

Predicting cloud resource provisioning using machine learning techniques.

Akindele A. Bankole, Samuel A. Ajila

Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

Software architecture decomposition using adaptive K-nearest neighbor algorithm.

Abdulaziz Alkhalid, Chung-Horng Lung, Samuel Ajila

Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

2012

Reusing and converting code clones to aspects - An algorithmic approach.

Samuel Ajila, Angad S. Gakhar, Chung-Horng Lung, Marzia Zaman

Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

2011

Mobile databases - Synchronization & conflict resolution strategies using SQL server.

Samuel A. Ajila, Ahmed Al-Asaad

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

E-CAL: A formal language for software model evolution.

Samuel A. Ajila

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

Impact of Aspect-Oriented Programming on Software Performance: A Case Study of Leader/Followers and Half-Sync/Half-Async Architectures.

Wen-Lin Liu, Chung-Horng Lung, Samuel Ajila

Proceedings of the 35th Annual IEEE International Computer Software and Applications Conference, 2011

2010

Using Model Transformation Semantics for Aspect Composition.

Samuel A. Ajila, Dorina C. Petriu, Pantanowitz Motshegwa

Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

2009

Using a Formal Language Constructs for Software Model Evolution.

Samuel A. Ajila, Shahid Alam

Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 2009

2008

Evolution support mechanisms for software product line process.

Samuel A. Ajila, Ali B. Kaba

J. Syst. Softw., 2008

2007

Empirical study of the effects of open source adoption on software development economics.

Samuel Ajila, Di Wu

J. Syst. Softw., 2007

Experimental use of code delta, code churn, and rate of change to understand software product line evolution.

Samuel Ajila, Razvan T. Dumitrescu

J. Syst. Softw., 2007

Using Constraints with Action Language for Model Evolution.

Shahid Alam, Samuel A. Ajila

Proceedings of the 2007 International Conference on Software Engineering Research & Practice, 2007

2006

The impact of firm size on knowledge reuse and exploration during software product development: An empirical study.

Samuel Ajila

Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006

2005

Reusing base product features to develop product line architecture.

Samuel Ajila

Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, 2005

2004

Experience Report on the Effect of Market Reposition on Product Line Evolution.

Razvan T. Dumitrescu, Antonio J. Bailetti, Samuel Ajila

Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

Knowledge Management: Impact of Knowledge Delivery Factors on Software Product Development Efficiency.

Samuel Ajila, Zheng Sun

Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

Using Traceability Mechanisms to Support Software Product Line Evolution.

Samuel Ajila, Badara Ali Kaba

Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

Reverse Engineering C++ Software System - Starting From Code to Design Information and Design Patterns.

Samuel A. Ajila, Peng Xie

Proceedings of the 2nd International Conference Computing, 2004

2003

DPET - A Simple C++ Design Pattern Extraction Tool.

Samuel Ajila, Peng Xie

Proceedings of the International Conference on Software Engineering Research and Practice, 2003

1995

Maintenance logicielle : analyse d'impact, problématique et mise en oeuvre.

Samuel A. Ajila

PhD thesis, 1995

Software Maintenance: An Approach to Impact Analysis of Objects Change

Samuel A. Ajila

Softw. Pract. Exp., 1995