Samuel A. Ajila

ORCID

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 23

Top Venues

Henri Poincaré University, Nancy, France (PHD)

Education History

Henri Poincaré University, Nancy, France

PHD

Publications

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)
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)
Abdul Mutakabbir, Samuel A. Ajila
Explainable Long-Term Forecasting of Air Pollution. BigData (2023)
Chandan Sai Chebrolu, Chung-Horng Lung, Samuel A. Ajila
Dynamic Packet Filtering Using Machine Learning. IRI (2022)
Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila
Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach. Big Data (2022)
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) (2022)
Andrew Dybka, Dominic Kocjan, Samuel A. Ajila
A Semisupervised Approach to Predicting a Twitch Streamer's Growth based on the Game Streamed. Big Data (2022)
Michael Fan, Omar Imran, Arka Singh, Samuel A. Ajila
Using CNN-LSTM Model for Weather Forecasting. Big Data (2022)
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)
Samuel A. Ajila
Multilayer Meta-Learning Approach to Forecasting Air Pollutants. IRI (2022)
Samuel A. Ajila, Nidheesh Vijay
Evaluating Deep Neural Nets and Optimized Hyperparameters Random Forest for Decision Support Systems. IRI (2021)
Samuel A. Ajila, Karthik Dilliraj
Forecasting Air Pollution using a Modified Compositional Learning Approach. IEEE BigData (2021)
Niyati R. Darji, Samuel A. Ajila
Increasing Prediction Accuracy for Human Activity Recognition Using Optimized Hyperparameters. IEEE BigData (2020)
Anurag Das, Samuel A. Ajila, Chung-Horng Lung
A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection. MLN (2019)
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 (2019)
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 (2018)
Bhumika Patel, Zaheenabanu Somani, Samuel A. Ajila, Chung-Horng Lung
Hybrid Relabeled Model for Network Intrusion Detection. iThings/GreenCom/CPSCom/SmartData (2018)
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)
Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung
An autonomic prediction suite for cloud resource provisioning. J. Cloud Comput. 6 (2017)
Xing Fan, Chung-Horng Lung, Samuel A. Ajila
An Adaptive Diversity-Based Ensemble Method for Binary Classification. COMPSAC (1) (2017)
Wenjing Han, Chung-Horng Lung, Samuel A. Ajila
Empirical Investigation of Code and Process Metrics for Defect Prediction. BigMM (2016)
Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung, Wayne Ding
Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM. BigData Congress (2016)
Fikirte Teka, Chung-Horng Lung, Samuel A. Ajila
Nearby live virtual machine migration using cloudlets and multipath TCP. J. Cloud Comput. 5 (2016)
Yang Cao, Chung-Horng Lung, Samuel A. Ajila
Constraint-Based Multi-Tenant SaaS Deployment Using Feature Modeling and XML Filtering Techniques. COMPSAC Workshops (2015)
Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung
Towards an Autonomic Auto-scaling Prediction System for Cloud Resource Provisioning. SEAMS@ICSE (2015)
Duo Liu, Chung-Horng Lung, Samuel A. Ajila
Adaptive Clustering Techniques for Software Components and Architecture. COMPSAC Workshops (2015)
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) (2014)
Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung
Cloud Resource Auto-scaling System Based on Hidden Markov Model (HMM). ICSC (2014)
Samuel A. Ajila, Angad S. Gakhar, Chung-Horng Lung
Aspectualization of code clones - an algorithmic approach. Inf. Syst. Frontiers 16 (5) (2014)
Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung
Measuring Prediction Sensitivity of a Cloud Auto-scaling System. COMPSAC Workshops (2014)
Sajjad Mahmood, Samuel A. Ajila
Software Requirements Elicitation - A Controlled Experiment to Measure the Impact of a Native Natural Language. COMPSAC (2013)
Sajjad Mahmood, Samuel A. Ajila
The Impact of Native Language on Use Case Modeling : A Controlled Experiment. J. Softw. 8 (7) (2013)
Yoonsoon Chang, Samuel A. Ajila
Design and implementation of experimental SPB network simulator on NS-3. CCECE (2013)
Akindele A. Bankole, Samuel A. Ajila
Predicting cloud resource provisioning using machine learning techniques. CCECE (2013)
Samuel A. Ajila, Omhenimhen Iyamu
Efficient live wide area VM migration with IP address change using type II hypervisor. IRI (2013)
Samuel A. Ajila, Akindele A. Bankole
Cloud Client Prediction Models Using Machine Learning Techniques. COMPSAC (2013)
Akindele A. Bankole, Samuel A. Ajila
Cloud Client Prediction Models for Cloud Resource Provisioning in a Multitier Web Application Environment. SOSE (2013)
Samuel A. Ajila, Ahmed Al-Asaad
Mobile databases - Synchronization & conflict resolution strategies using SQL server. IRI (2011)
Samuel A. Ajila
E-CAL: A formal language for software model evolution. IRI (2011)
Samuel A. Ajila, Dorina C. Petriu, Pantanowitz Motshegwa
Using Model Transformation Semantics for Aspect Composition. ICSC (2010)
Samuel A. Ajila, Shahid Alam
Using a Formal Language Constructs for Software Model Evolution. ICSC (2009)
Samuel A. Ajila, Ali B. Kaba
Evolution support mechanisms for software product line process. J. Syst. Softw. 81 (10) (2008)
Shahid Alam, Samuel A. Ajila
Using Constraints with Action Language for Model Evolution. Software Engineering Research and Practice (2007)
Samuel A. Ajila, Peng Xie
Reverse Engineering C++ Software System - Starting From Code to Design Information and Design Patterns. CCCT (2) (2004)
Samuel A. Ajila
Software Maintenance: An Approach to Impact Analysis of Objects Change Softw. Pract. Exp. 25 (10) (1995)

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Publication Activity (10 Years)

Top Topics

Top Venues

Samuel A. Ajila