Muhammad Sakib Khan Inan

13 papers A* 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries.
IJCAI
Muhammad Sakib Khan Inan, Kewen Liao
2025 J jnl
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries.
CoRR
Muhammad Sakib Khan Inan, Kewen Liao
2025 J jnl
DeepMetaIoT: A Multimodal Deep Learning Framework Harnessing Metadata for IoT Sensor Data Classification.
IEEE Internet Things J.
Muhammad Sakib Khan Inan, Kewen Liao, Haifeng Shen, Prem Prakash Jayaraman, Federico Montori, Dimitrios Georgakopoulos
2024 J jnl
A slice selection guided deep integrated pipeline for Alzheimer's prediction from Structural Brain MRI.
Biomed. Signal Process. Control.
Muhammad Sakib Khan Inan, Nabila Sabrin Sworna, A. K. M. Muzahidul Islam, Salekul Islam, Md. Zulfikar Alom, Mohammad Abdul Azim, Swakkhar Shatabda
2024 J jnl
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data.
CoRR
Muhammad Sakib Khan Inan, Kewen Liao, Haifeng Shen, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Ming Jian Tang
2023 — conf
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data.
MobiQuitous (1)
Muhammad Sakib Khan Inan, Kewen Liao, Haifeng Shen, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Ming Jian Tang
2023 J jnl
Explainable AI Integrated Feature Selection for Landslide Susceptibility Mapping Using TreeSHAP.
SN Comput. Sci.
Muhammad Sakib Khan Inan, Istiakur Rahman
2022 J jnl
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images.
Biomed. Signal Process. Control.
Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan
2022 J jnl
Integration of Explainable Artificial Intelligence to Identify Significant Landslide Causal Factors for Extreme Gradient Boosting based Landslide Susceptibility Mapping with Improved Feature Selection.
CoRR
Muhammad Sakib Khan Inan, Istiakur Rahman
2021 — conf
A Hybrid Probabilistic Ensemble based Extreme Gradient Boosting Approach For Breast Cancer Diagnosis.
CCWC
Muhammad Sakib Khan Inan, Rizwan Hasan, Fahim Irfan Alam
2021 — conf
An Integrated Expert System with a Supervised Machine Learning based Probabilistic Approach to Play Tic-Tac-Toe.
UEMCON
Muhammad Sakib Khan Inan, Rizwan Hasan, Tabia Tanzin Prama
2021 J jnl
Deep Integrated Pipeline of Segmentation Leading to Classification for Automated Detection of Breast Cancer from Breast Ultrasound Images.
CoRR
Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan
2021 — conf
Improved Sampling and Feature Selection to Support Extreme Gradient Boosting For PCOS Diagnosis.
CCWC
Muhammad Sakib Khan Inan, Rubaiath E. Ulfath, Fahim Irfan Alam, Fateha Khanam Bappee, Rizwan Hasan