S. Sakib

发表

Hand Frame Extraction in Surgical Video Images Using Convolutional Neural Network

S. Kobashi, S. Sakib, B. Hossain, 2020, 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS).

COVID-19 Prediction based on Infected Cases and Deaths of Bangladesh using Deep Transfer Learning

Khan Md. Hasib, Mohammad Shafiul Alam, J. Mahmud, 2022, 2022 IEEE World AI IoT Congress (AIIoT).

Modeling and Simulation of Solar Photovoltaic Cell for the Generation of Electricity in UAE

M. Siddique, S. Sakib, 2019, 2019 5th International Conference on Advances in Electrical Engineering (ICAEE).

Botnet Attack Detection in IoT Using Machine Learning

T. Alyas, S. Sakib, K. Zafar, 2022, Computational intelligence and neuroscience.

Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction

Adil Ahmed Chowdhury, S. Sakib, Iftekhar Ahmed, 2022, 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

Implementation of Fruits Recognition Classifier using Convolutional Neural Network Algorithm for Observation of Accuracies for Various Hidden Layers pdf

Shadman Sakib, Md. Abu Bakr Siddique, Zahidun Ashrafi, 2019, ArXiv.

An Overview of Convolutional Neural Network: Its Architecture and Applications

Shadman Sakib, Nazib Ahmed, Ahmed Jawad Kabir, 2018 .

A Comparative Study of CNN Transfer Learning Classification Algorithms with Segmentation for COVID-19 Detection from CT Scan Images

Amir Hossain Raj, S. Sakib, Tonmoy Hossain, 2020, 2020 11th International Conference on Electrical and Computer Engineering (ICECE).

Deep Convolutional Neural Networks Model-based Brain Tumor Detection in Brain MRI Images

Abyaz Kader Tanzeem, M. Siddique, S. Sakib, 2020, 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).

Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers

M. Siddique, S. Sakib, Fathma Siddique, 2019, 2019 5th International Conference on Advances in Electrical Engineering (ICAEE).

Non-Intrusive Electrical Appliances Monitoring and Classification using K-Nearest Neighbors

M. Siddique, S. Sakib, Mohammad Mahmudur Rahman Khan, 2019, 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET).

Prediction Of Temperature And Rainfall In Bangladesh Using Long Short Term Memory Recurrent Neural Networks

Shadman Sakib, Md. Abu Bakr Siddique, Mohammad Mahmudur Rahman Khan, 2020, 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).

De Novo Drug Property Prediction using Graph Convolutional Neural Networks

Fairuz Shadmani Shishir, S. Sakib, F. Shah, 2021, 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC).

Electrocardiogram Heartbeat Classification Using Convolutional Neural Networks for the Detection of Cardiac Arrhythmia

Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Abyaz Kader Tanzeem, 2020, 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).

Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey

Md. Ali Akbar, I. Razzak, S. Sakib, 2023, IEEE Transactions on Computational Social Systems.

Digital Image Restoration in Matlab: A Case Study on Inverse and Wiener Filtering

Shadman Sakib, Md. Abu Bakr Siddique, Rezoana Bente Arif, 2018, 2018 International Conference on Innovation in Engineering and Technology (ICIET).

Automatic Detection of COVID-19 Disease in Chest X-Ray Images using Deep Neural Networks

M. Siddique, S. Sakib, Mohammad Mahmudur Rahman Khan, 2020, 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC).

Detection of COVID-19 Disease from Chest X-Ray Images: A Deep Transfer Learning Framework

Ihtyaz Kader Tasawar, M. A. B. Siddique, S. Sakib, 2020, medRxiv.

Performance Analysis of Convolutional Neural Network Architectures for the Identification of COVID-19 from Chest X-ray Images

S. Sakib, Tanvir Anjum, Tanzil Ebad Chowdhury, 2022, 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC).

Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers pdf

Shadman Sakib, Md. Abu Bakr Siddique, Fathma Siddique, 2019, 2019 5th International Conference on Advances in Electrical Engineering (ICAEE).

Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers

Mohamed Abdur Rahman, Shadman Sakib, Md. Abu Bakr Siddique, 2020, 2020 IEEE Region 10 Symposium (TENSYMP).

Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers

Mohamed Abdur Rahman, M. Siddique, S. Sakib, 2019, 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET).