Kusum Lata
Biographic Data
| ID | 7563682 |
|---|---|
| NAME | Kusum Lata |
| GIVEN NAMES | Kusum |
| FAMILY NAME | Lata |
| SIGNATURE | LATA K |
| AFFILIATIONS | Delhi Technological University |
| ORCID | 0000-0003-3954-6142 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Does intimate partner violence experienced by mothers impact child health in South Asian countries? Evidence from mixed-effects logistic regression analysis
Intimate partner violence (IPV) against women is a ‘global hidden epidemic’ and has significant repercussions on child’s biological, psychological and emotional well-being. Given the disproportionately high incidence of IPV against women in South Asia, coupled with the global burden of child malnutrition, it is imperative to investigate the effects of IPV on child health. The study employed a mixed-effect logistic model using data from the latest…
Innovation in Pedagogical Practices
The integration of technology in higher education has transformed pedagogical practices, facilitating a shift from traditional teaching methods to more dynamic, interactive, and personalized learning experiences. This paper explores the innovations in pedagogical practices driven by technology-enhanced learning (TEL). It examines the impact of TEL on student engagement, learning outcomes, and teaching methodologies, while also addressing challeng…
Predicting non-violent work behaviour among employees using machine learning techniques
Purpose This study aims to develop a model to predict non-violent work behaviour (NVWB) among employees using machine learning techniques. Design/methodology/approach Four machine learning techniques (Naïve Bayes, decision tree, logistic regression and ensemble learning) were used to develop a prediction model for NVWB of employees. Also, 10-fold cross-validation method was used to validate the NVWB prediction models. The confusion matrix is used…
Modeling the effect of unemployment augmented industrialization on the control of unemployment
Effects of population and population pressure on forest resources and their conservation
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Effects of population and population pressure on forest resources and their conservation
Predicting non-violent work behaviour among employees using machine learning techniques
Purpose This study aims to develop a model to predict non-violent work behaviour (NVWB) among employees using machine learning techniques. Design/methodology/approach Four machine learning techniques (Naïve Bayes, decision tree, logistic regression and ensemble learning) were used to develop a prediction model for NVWB of employees. Also, 10-fold cross-validation method was used to validate the NVWB prediction models. The confusion matrix is used…
Modeling the effect of unemployment augmented industrialization on the control of unemployment
Innovation in Pedagogical Practices
The integration of technology in higher education has transformed pedagogical practices, facilitating a shift from traditional teaching methods to more dynamic, interactive, and personalized learning experiences. This paper explores the innovations in pedagogical practices driven by technology-enhanced learning (TEL). It examines the impact of TEL on student engagement, learning outcomes, and teaching methodologies, while also addressing challeng…
Does intimate partner violence experienced by mothers impact child health in South Asian countries? Evidence from mixed-effects logistic regression analysis
Intimate partner violence (IPV) against women is a ‘global hidden epidemic’ and has significant repercussions on child’s biological, psychological and emotional well-being. Given the disproportionately high incidence of IPV against women in South Asia, coupled with the global burden of child malnutrition, it is imperative to investigate the effects of IPV on child health. The study employed a mixed-effect logistic model using data from the latest…
Computer Science (2 works) · Economics (2 works) · Logistic regression (2 works) · Psychology (2 works) · Adolescent Sexual and Reproductive Health (1 work) · Artificial Intelligence (1 work) · Biology (1 work) · Business (1 work) · Carrying capacity (1 work) · Child health (1 work)