Inam Ullah

Orcid: 0000-0002-2624-8093

Affiliations:
  • Shandong Jianzhu University, Department of Computer Science and Technology, Jinan, China
  • Shandong University, School of Computer Science and Technology, Jinan, China (PhD 2021)
  • University of Peshawar, Department of Computer Science, Pakistan (2016-2017)


According to our database1, Inam Ullah authored at least 18 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
AI-driven framework for text neck syndrome detection using non-contact software-defined RF sensing and sequential deep learning.
Telecommun. Syst., September, 2025

Context-Aware Prediction with Secure and Lightweight Cognitive Decision Model in Smart Cities.
Cogn. Comput., February, 2025

Attention-Guided Asymmetric Multiscale Polyp Segmentation Network.
IEEE Trans. Instrum. Meas., 2025

ADPNet: Attention-Driven Dual-Path Network for automated polyp segmentation in colonoscopy.
Image Vis. Comput., 2025

2024
CMGNet: Context-aware middle-layer guidance network for salient object detection.
J. King Saud Univ. Comput. Inf. Sci., January, 2024

Finger Vein Presentation Attack Detection Method Using a Hybridized Gray-Level Co-Occurrence Matrix Feature with Light-Gradient Boosting Machine Model.
Proceedings of the Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era (ISD2024 Proceedings), 2024

2023
Causality extraction: A comprehensive survey and new perspective.
J. King Saud Univ. Comput. Inf. Sci., July, 2023

Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors.
Sci. China Inf. Sci., February, 2023

2022
AWANet: Attentive-Aware Wide-Kernels Asymmetrical Network with Blended Contour Information for Salient Object Detection.
Sensors, 2022

Towards Improving Causality Mining using BERT with Multi-level Feature Networks.
KSII Trans. Internet Inf. Syst., 2022

DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition.
Expert Syst. Appl., 2022

A Discriminative Level Set Method with Deep Supervision for Breast Tumor Segmentation.
Comput. Biol. Medicine, 2022

2021
DSFMA: deeply supervised fully convolutional neural networks based on multi-level aggregation for saliency detection.
Multim. Tools Appl., 2021

Attention based consistent semantic learning for micro-video scene recognition.
Inf. Sci., 2021

Global context-aware multi-scale features aggregative network for salient object detection.
Neurocomputing, 2021

Global Citation Recommendation employing Multi-view Heterogeneous Network Embedding.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
A brief survey of visual saliency detection.
Multim. Tools Appl., 2020

Contextual Level-Set Method for Breast Tumor Segmentation.
IEEE Access, 2020


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