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Profil bibliographique

Khaled Bin Showkot Tanim

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

4Publications signalées
1Citations signalées
0Affiliations récentes

Les domaines associés

Ethics and Social Impacts of AINetwork Security and Intrusion DetectionAnomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine LearningBig Data and Business Intelligence

Les publications récentes

Accès ouvert 2025 article OpenAlex

Harnessing Data Science and Machine Learning for Strategic Business Decision-Making in Multi-Channel Retail Environments

Rasel Sordar, Iffat Ara, Sadia Afrin Khan, Khaled Bin Showkot Tanim et autres

In the cutthroat modern retail environment, strategic decisionmaking is increasingly driven by intelligent data usage.This research investigates how data science and ML can be leveraged to enhance critical business processes in multichannel retail settings that include online, in-store, and social commerce platforms.An …

bd, mm, Namibie, au (code pays fourni par la source)

0 citations International Journal of Computer Applications
Accès ouvert 2025 article OpenAlex

Advancing Fairness in Multimodal Machine Learning for Internet‑Scale Video Data: Comprehensive Bias Mitigation and Evaluation Framework

Souihi Sami, Mohammad Rasel Mahmud, Khaled Bin Showkot Tanim, Mahpara Khan Orpa

The progression of multimodal machine learning (MML), a pivotal aspect of the artificial intelligence (AI) revolution, greatly enhances the analysis and comprehension of video data by providing insights across several modalities, including text, audio, and visual formats.MML models have extensive applications in …

bd (code pays fourni par la source)

0 citations International Journal of Computer Applications
Accès ouvert 2025 article OpenAlex

Designing Secure and Usable Systems: The Intersection of Human-Computer Interaction, Cybersecurity, and Machine Learning

Souihi Sami, Khaled Bin Showkot Tanim, MD Shadman Soumik

In this fast-paced world of IT security, HCI, cybersecurity, and machine learning initiatives should lead to design that is strong and easy to use technological systems.This study assesses the capabilities of three notable ML models-ANN, CNN, and SVM-in making cybersecurity better, utilizing …

bd (code pays fourni par la source)

0 citations International Journal of Computer Applications

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