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Mohammad Rifat Ahmmad Rashid
Person information
- affiliation: Politecnico di Torino, Turin, Italy
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2020 – today
- 2025
- [j4]Md. Atiqur Rahman
, Israt Jahan
, Maheen Islam
, Taskeed Jabid, Md. Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam
, Md. Hasanul Ferdaus, Mostofa Kamal Rasel
, Mahmuda Rawnak Jahan, Shayla Sharmin
, Tanzina Afroz Rimi
, Atia Sanjida Talukder
, Md. Mafiul Hasan Matin, M. Ameer Ali:
Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches. IEEE Access 13: 20989-21004 (2025) - 2024
- [j3]Md. Muktadir Mukto, Mahamudul Hasan, Md. Maiyaz Al Mahmud, Ikramul Haque, Md. Ahsan Ahmed, Taskeed Jabid, Md. Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam
, Maheen Islam
:
Design of a real-time crime monitoring system using deep learning techniques. Intell. Syst. Appl. 21: 200311 (2024) - [c9]Habibur Rahman, Md Tanvir Chowdhury, Monjurul Islam Sumon, Fatiha Mahbub Mim, Mohammad Rifat Ahmmad Rashid, Raihan Ul Islam, Mahamudul Hasan:
Analyzing A/B Testing Results in Digital Marketing. AIBThings 2024: 1-5 - 2023
- [i4]Maliha Mahajebin, Mohammad Rifat Ahmmad Rashid, Nafees Mansoor:
Mood Classification of Bangla Songs Based on Lyrics. CoRR abs/2307.10314 (2023) - 2022
- [c8]Mohammad Rashid, Elahe Ghasemi, Javad B. Ebrahimi:
Entropic Weighted Rank Function. IWCIT 2022: 1-6 - [c7]Syeda Tasfia Tasnim, Md Ariful Islam
, Rawnak Jahan Taifa, Sraboni Mahbub, Mohammad Rifat Ahmmad Rashid:
Agri-food Traceability Using Blockchain Technology to Ensure Value Chain Management and Fair Pricing in Bangladesh. WF-IoT 2022: 1-6 - [i3]Mohammad Rashid, Elahe Ghasemi, Javad B. Ebrahimi:
Entropic Weighted Rank Function. CoRR abs/2206.05968 (2022) - 2021
- [i2]Ali Fathi, Mohammad Rashid, Shayan Ranjbarzadeh, Mojtaba Tefagh:
Multi-Feasibility Variable Selection. CoRR abs/2110.00819 (2021)
2010 – 2019
- 2019
- [j2]Mohammad Rashid, Marco Torchiano
, Giuseppe Rizzo
, Nandana Mihindukulasooriya
, Óscar Corcho:
A quality assessment approach for evolving knowledge bases. Semantic Web 10(2): 349-383 (2019) - [j1]Mohammad Rifat Ahmmad Rashid, Giuseppe Rizzo
, Marco Torchiano
, Nandana Mihindukulasooriya
, Óscar Corcho, Raúl García-Castro:
Completeness and consistency analysis for evolving knowledge bases. J. Web Semant. 54: 48-71 (2019) - [c6]Davide Conzon
, Mohammad Rifat Ahmmad Rashid, Xu Tao, Angel Soriano, Richard Nicholson, Enrico Ferrera:
BRAIN-IoT: Model-Based Framework for Dependable Sensing and Actuation in Intelligent Decentralized IoT Systems. ICCCS 2019: 1-8 - [p1]Mohammad Rifat Ahmmad Rashid, Davide Conzon
, Xu Tao, Enrico Ferrera:
Privacy Awareness for IoT Platforms: BRAIN-IoT Approach. Security and Privacy in the Internet of Things 2019: 24-43 - 2018
- [b1]Mohammad Rifat Ahmmad Rashid:
Automated Knowledge Base Quality Assessment and Validation based on Evolution Analysis. Polytechnic University of Turin, Italy, 2018 - [c5]Mohammad Rashid, Giuseppe Rizzo
, Marco Torchiano
, Nandana Mihindukulasooriya
, Óscar Corcho:
Knowledge Base Evolution Analysis: A Case Study in the Tourism Domain. ICWE Workshops 2018: 268-278 - [c4]Nandana Mihindukulasooriya
, Mohammad Rifat Ahmmad Rashid, Giuseppe Rizzo
, Raúl García-Castro, Óscar Corcho, Marco Torchiano
:
RDF shape induction using knowledge base profiling. SAC 2018: 1952-1959 - [i1]Mohammad Rifat Ahmmad Rashid, Giuseppe Rizzo, Marco Torchiano, Nandana Mihindukulasooriya, Óscar Corcho, Raúl García-Castro:
Completeness and Consistency Analysis for Evolving Knowledge Bases. CoRR abs/1811.12721 (2018) - 2017
- [c3]Mohammad Rashid, Giuseppe Rizzo, Nandana Mihindukulasooriya, Marco Torchiano, Óscar Corcho:
KBQ - A Tool for Knowledge Base Quality Assessment Using Evolution Analysis. K-CAP Workshops 2017: 58-63 - 2015
- [c2]Mohammad Rashid, Luca Ardito
, Marco Torchiano
:
Energy Consumption Analysis of Algorithms Implementations. ESEM 2015: 82-85 - [c1]Mohammad Rashid, Luca Ardito
, Marco Torchiano
:
Energy Consumption Analysis of Image Encoding and Decoding Algorithms. GREENS 2015: 15-21
Coauthor Index

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last updated on 2025-03-10 21:53 CET by the dblp team
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