Aftab Hussain Tabasam
Biographic Data
| ID | 7545368 |
|---|---|
| NAME | Aftab Hussain Tabasam |
| GIVEN NAMES | Aftab Hussain |
| FAMILY NAME | Tabasam |
| SIGNATURE | TABASAM A H |
| AFFILIATIONS | University of Poonch Rawalakot |
| ORCID | 0000-0002-3788-7966 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The Triple Impact
In this research endeavor, we delve into exploring how CSR acts as a moderating force and capital structure assumes a mediating role in shaping the interplay between managerial ability and firm performance. Utilizing data from 219 non-financial firms listed on the Pakistan Stock Exchange from 2008 to 2021, we employ fixed-effect regression with robust standard errors to mitigate concerns of heteroscedasticity and autocorrelation. Our findings unv…
Dynamic linkages between carbon emission, energy utilization, financial growth and economic growth
Anomaly Detection In Ioht Using Deep Learning
Anomaly detection has been a focal point in research within the data mining community, with numerous methods developed over the years. A significant challenge that has emerged in recent years, impacting the practical implementation of [1]these algorithms, is the lack of trust from end-users. This research introduces a novel model that capitalizes on correlations among physiological data attributes, integrating hybrid Convolutional Long Short-Term…
The dynamic role of sustainable development goals to eradicate the multidimensional poverty
This study empirically investigates the multidimensional poverty index (MPI) level and vulnerability to poverty in Pakistan. This study explores MPI province-wise. The MPI consists of three equally weighted dimensions: schooling, health well-being and living standards. This investigation uses a systematic random sampling approach to gather the data from householders from 2003 to 2018. The empirical result demonstrates that 24% of the population w…
No prominent works on this page.
Anomaly Detection In Ioht Using Deep Learning
Anomaly detection has been a focal point in research within the data mining community, with numerous methods developed over the years. A significant challenge that has emerged in recent years, impacting the practical implementation of [1]these algorithms, is the lack of trust from end-users. This research introduces a novel model that capitalizes on correlations among physiological data attributes, integrating hybrid Convolutional Long Short-Term…
The dynamic role of sustainable development goals to eradicate the multidimensional poverty
This study empirically investigates the multidimensional poverty index (MPI) level and vulnerability to poverty in Pakistan. This study explores MPI province-wise. The MPI consists of three equally weighted dimensions: schooling, health well-being and living standards. This investigation uses a systematic random sampling approach to gather the data from householders from 2003 to 2018. The empirical result demonstrates that 24% of the population w…
Dynamic linkages between carbon emission, energy utilization, financial growth and economic growth
The Triple Impact
In this research endeavor, we delve into exploring how CSR acts as a moderating force and capital structure assumes a mediating role in shaping the interplay between managerial ability and firm performance. Utilizing data from 219 non-financial firms listed on the Pakistan Stock Exchange from 2008 to 2021, we employ fixed-effect regression with robust standard errors to mitigate concerns of heteroscedasticity and autocorrelation. Our findings unv…
Economics (2 works) · Advanced Malware Detection Techniques (1 work) · Anomaly detection (1 work) · Anomaly Detection Techniques and Applications (1 work) · Attendance (1 work) · Big data (1 work) · Business (1 work) · Capital call (1 work) · Capital structure (1 work) · Carbon fibers (1 work)