Inayat Khan
Orcid: 0000-0001-5737-305X
According to our database1,
Inayat Khan
authored at least 35 papers
between 2009 and 2024.
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Bibliography
2024
DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems.
IEEE J. Biomed. Health Informatics, March, 2024
2023
SLOG: smartphone-based semantic lifelogging framework for digital prosthetic memory development.
Pers. Ubiquitous Comput., December, 2023
NPR-LBN: next point of interest recommendation using large bipartite networks with edge and cloud computing.
J. Cloud Comput., December, 2023
Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT.
Sensors, September, 2023
Pashto Handwritten Invariant Character Trajectory Prediction Using a Customized Deep Learning Technique.
Sensors, July, 2023
Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time.
Sensors, March, 2023
J. Circuits Syst. Comput., January, 2023
Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data.
Sensors, 2023
MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system.
J. Ambient Intell. Humaniz. Comput., 2023
TILPDeep: A Lightweight Deep Learning Technique for Handwritten Transformed Invariant Pashto Text Recognition.
IEEE Access, 2023
A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning.
IEEE Access, 2023
Improving Security Architecture of Internet of Medical Things: A Systematic Literature Review.
IEEE Access, 2023
IEEE Access, 2023
Non Functional Requirements Identification and Classification Using Transfer Learning Model.
IEEE Access, 2023
Practices of De-Motivators in Adopting Agile Software Development Methods at Large Scale Development Teams From Management Perspective.
IEEE Access, 2023
2022
IIMFCBM: Intelligent Integrated Model for Feature Extraction and Classification of Brain Tumors Using MRI Clinical Imaging Data in IoT-Healthcare.
IEEE J. Biomed. Health Informatics, 2022
Soft Comput., 2022
ConTEXT: context-aware adaptive SMS client for drivers to reduce risky driving behaviors.
Soft Comput., 2022
Characterization of English Braille Patterns Using Automated Tools and RICA Based Feature Extraction Methods.
Sensors, 2022
Haptic Feedback to Assist Blind People in Indoor Environment Using Vibration Patterns.
Sensors, 2022
Cooperative Energy-Efficient Routing Protocol for Underwater Wireless Sensor Networks.
Sensors, 2022
Scientometrics, 2022
Comput. Electr. Eng., 2022
Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements.
IEEE Access, 2022
2021
Sensors, 2021
Detection of Touchscreen-Based Urdu Braille Characters Using Machine Learning Techniques.
Mob. Inf. Syst., 2021
Analyzing Drivers' Distractions due to Smartphone Usage: Evidence from AutoLog Dataset.
Mob. Inf. Syst., 2021
Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features.
IEEE Access, 2021
2020
Towards the Design of Context-Aware Adaptive User Interfaces to Minimize Drivers' Distractions.
Mob. Inf. Syst., 2020
AutoLog: Toward the Design of a Vehicular Lifelogging Framework for Capturing, Storing, and Visualizing LifeBits.
IEEE Access, 2020
2019
Smartphone-Based Lifelogging: An Investigation of Data Volume Generation Strength of Smartphone Sensors.
Proceedings of the Simulation Tools and Techniques - 11th International Conference, 2019
2017
SmartOntoSensor: Ontology for Semantic Interpretation of Smartphone Sensors Data for Context-Aware Applications.
J. Sensors, 2017
2014
2009
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009