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Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Zahid Halim · Study

Home/Author

Zahid Halim

7 works· latest 2022· 1 institutionscluster: provisionalORCID 0000-0003-3094-3483

h-index7

i107

Citations488

Works here7

17

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22

Most cited in this library

On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning2019 · 231 citations
Profiling Players Using Real-World Datasets: Clustering the Data and Correlating the Results with the Big-Five Personality Traits2017 · 81 citations
A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email2020 · 75 citations
Conceptualization of smartphone usage and feature preferences among various demographics2020 · 42 citations
A data science-based framework to categorize academic journals2019 · 31 citations

Works

7 shown

An artificial intelligence-based framework for data-driven categorization of computer scientists: a case study of world’s Top 10 computing departments

Scientometrics·2022·3 authors

12citations

A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email

Knowledge-Based Systems·2020·3 authors

75citations

Conceptualization of smartphone usage and feature preferences among various demographics

Cluster Computing·2020·6 authors·Open access

42citations

On finding optimum commuting path in a road network: A computational approach for smart city traveling

Transactions on Emerging Telecommunications Technologies·2019·4 authors

16citations

On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning

Information Fusion·2019·2 authors

231citations

A data science-based framework to categorize academic journals

Scientometrics·2019·2 authors

31citations

Profiling Players Using Real-World Datasets: Clustering the Data and Correlating the Results with the Big-Five Personality Traits

IEEE Transactions on Affective Computing·2017·3 authors

81citations