Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review

I Kaur, AK Sandhu, Y Kumar - Archives of Computational Methods in …, 2022 - Springer
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …

Analyzing and minimizing the effects of Vector-borne diseases using machine and deep learning techniques: A systematic review

I Kaur, AK Sandhu, Y Kumar - 2021 sixth international …, 2021 - ieeexplore.ieee.org
Among the numerous threats facing our world, Vector-borne illnesses pose the greatest
threat. Although arboviruses have a long history of infecting humans, they have recently …

Artificial intelligence models for zoonotic pathogens: a survey

N Pillai, M Ramkumar, B Nanduri - Microorganisms, 2022 - mdpi.com
Zoonotic diseases or zoonoses are infections due to the natural transmission of pathogens
between species (animals and humans). More than 70% of emerging infectious diseases …

Order-Picking Forecasting Using a Statistical and Machine Learning Approach

KO Manu-Tawiah - 2024 - search.proquest.com
This research optimizes workforce planning in fulfillment centers using machine-learning
algorithms to forecast order-picking lines. Employing the Theory of Constraints (TOC), the …