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Abid Iqbal

As seen in: Nature, Wiley Online Library, MDPI, Taylor & Francis Online, Canadian Journal of Infectious Diseases & Medical Microbiology, Emerald Publishing, Journal of Business Strategies, The Electronic Library

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Abid Iqbal’s Biography

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I am Abid iqbal from islamabad pakistan. i am the owner of a site that all about the celebrities. all sports celebs, showbiz celebs and business celebs news here.
<a href="https://www.celebs-networth.com/">Celebrities</a>

Abid Iqbal’s Journalist Portfolio

Celebs NetWorth - Celebrities Net Worths and Salaries

Celebs NetWorth - Celebrities Net Worths and Salaries

net worth of famous celebrities - how rich they are. celebs salaries, Endorsements, investments and expenses.

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Articles

Semantic-Aware UAV-IRS Control for Cooperative V2X Perception Using Label-Derived Context

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By Musawer Hussain, Ahmad Junaid, Abid Iqbal
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement This study used the publicly available DAIR V2X-Seq-SPD dataset, which is available through the DAIR-V2X project repository at https://github.com/air-thu/dair-v2x. The processed subset manifests, derived experimental tables, and revision analysis outputs are available from the corresponding author upon reasonable request.
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Design and evaluation of an intent-based web of things query framework for smart device discovery

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By Salman Tahir, Muhammad Faheem, Abid Iqbal, Saad M. Arif, Najia Saher, Muhammad Nabeel Asghar
| Nature Verified
Abstract The rapid growth of Internet of Things (IoT) deployments has made smart device discovery difficult in heterogeneous environments where devices differ in type, location, operational status, metadata structure, and communication interface. Conventional IoT search approaches often rely on keyword matching, static indexing, or predefined metadata fields, which limit their ability to interpret user intent in Web of Things (WoT) environments.
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Early-warning industrial fault detection based on physics-guided residual learning and calibrated CRNNs

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By Abuzar Salman Khan, Fahmid Al Farid, Ahmad Junaid, Muhammad Siddique, Abid Iqbal, Jia Uddin, Hezerul Abdul Karim, Ghassan Husnain
| Nature Verified
Abstract Industrial plants generate high volume multivariate sensor time series where early fault detection must be accurate, governable and explainable under regime changes, sensor correlations and drift.
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See all 14 licensed articles (19 Total)