IDSTA

Publications

2023

Moamin Abughazala, Henry Muccini, Mohammad Sharaf
Architecture Description Framework For Data-Intensive Applications. IDSTA (2023)
Joshua Theoder, Binusha Shabu Metharath, Sahel Alouneh
Securing Domain Name Systems with Blockchain. IDSTA (2023)
Shovan Chowdhury, Fengqi Li, Avery Stubbings, Joshua New, Ankur Garg, Santiago Correa, Kevin Bacabac
Bias Correction in Urban Building Energy Modeling for Chicago Using Machine Learning. IDSTA (2023)
Ahmed Mahrous, Jens Schneider, Roberto Di Pietro
The Role of Emojis in Sentiment Analysis of Financial Microblogs. IDSTA (2023)
Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh
Incorporating Data Preparation and Clustering Techniques for Workload Segmentation in Large-Scale Cloud Data Centers. IDSTA (2023)
Zainab Abualhassan, Ehtesham Hassan, Imtiaz Ahmad, Sa'ed Abed
Epileptic Seizure Detection Using Novel CNN with Residual Connections. IDSTA (2023)
Abdelmounaim Kerkri, Mohamed Amine Madani, Hicham Ghouch, Karima El Majdoub
Arabic Web Page Classification with AraBert and Mixture vectorization Methods: Analysis Using K-NN, LSTM and Naive Bayes. IDSTA (2023)
Ruba Kharsa, Rouaa Alzoubi, Mohammad A. Alsmirat, Mahmoud Al-Ayyoub
Image Retargeting Techniques Identification Using Supervised Deep Learning. IDSTA (2023)
Sunday O. Olatunji, Abdulaziz Alzahrani, Abdulaziz Alsubaie, Osamah Aldahlan, Ibrahim Alnafea, Abdullah Alamri, Mohammed Imran Basheer Ahmed, Mohammad Aftab Alam Khan, Abdulrahman Almuhaidib, Jamal Alhiyafi
Machine Learning Based Preemptive Diagnosis of Parkinson's Disease Using Saudi Clinical Data: A Preliminary Case Study on Saudi Arabia Dataset. IDSTA (2023)
Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, Hadda Cherroun
Towards Arabic Multimodal Dataset for Sentiment Analysis. IDSTA (2023)
Qanita Bani Baker, Enas Khwaileh, Marwa Alharbi, Yaser Jararweh
Lung Cancer Survival Time Prediction Using Machine Learning and Deep Learning Techniques. IDSTA (2023)
Sam Aleyadeh, Abbas Javadtalab, Abdallah Shami
Modular Simulation Environment Towards OTN AI-based Solutions. IDSTA (2023)
Fadi Alzhouri, Hardik Gunjal, Preetkumar Patel, Ahmad Hammad, Dariush Ebrahimi
A Smart Network Intrusion Detection System for Cyber Security of Industrial IoT. IDSTA (2023)
Mohamad Tarabin, Mariam Mohamed Alketbi, Hamad Rashed Alfalasi, Mohammad A. Alsmirat, Yousef O. Sharrab
Detecting Distracted Drivers Using Convolutional Neural Networks. IDSTA (2023)
Fourth International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2023, Kuwai, Kuwait, October 24-26, 2023 IDSTA (2023)
Hamda Almenhali, Meera Almansoori, Noura Alhamed, Ahmed Shuhaiber
'My Household' Application: A Smart Mobile Application for Household Management. IDSTA (2023)
Tina Zavvar, Ismaeel Al Ridhawi, Ali Abbas
Thermography-Based Early-Stage Breast Cancer Detection Using SVM. IDSTA (2023)
Haider Ramadhan
Identifying Candidate Pages for Shortcuts in a Website for Site Personalization and Adaptation. IDSTA (2023)
Haya Elayan, Moayad Aloqaily, Mohsen Guizani
Deep Federated Learning for IoT to Improve Healthcare Operations. IDSTA (2023)

2022