Publications by authors named "Pervaiz Akhtar"
Article Synopsis
- - Mungbean (Vigna radiata) is the second most cultivated legume in Pakistan, experiencing wilting issues in several fields during 2022 and 2023, particularly in the PRI Mung-2018 variety, with symptoms including yellowing leaves and vascular discoloration.
- - Plants collected from five different locations showed a disease incidence of 5-10%, with roots exhibiting stunted growth and discoloration.
- - Fungal analysis revealed that the pathogens involved were members of the Fusarium genus, identified through both morphological characteristics and molecular techniques, including study of the TEF1 and RPB1 genes.
Fake news and disinformation (FNaD) are increasingly being circulated through various online and social networking platforms, causing widespread disruptions and influencing decision-making perceptions. Despite the growing importance of detecting fake news in politics, relatively limited research efforts have been made to develop artificial intelligence (AI) and machine learning (ML) oriented FNaD detection models suited to minimize supply chain disruptions (SCDs). Using a combination of AI and ML, and case studies based on data collected from Indonesia, Malaysia, and Pakistan, we developed a FNaD detection model aimed at preventing SCDs.
View Article and Find Full Text PDFThis study intended to validate customer inspiration (CI)in Malaysian/developing country context. Data were collected from two different respondents for two studies - from Millennial customers of the auto industry and Generation Z customers of the smartphone industry. The survey conducted through a standardized and structured questionnaire.
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