Md Belal Bin Heyat
Overview
Explore the profile of Md Belal Bin Heyat including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
35
Citations
284
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Chai C, Yang X, Zheng Y, Bin Heyat M, Li Y, Yang D, et al.
Biosens Bioelectron
. 2025 Mar;
278:117321.
PMID: 40049046
Wearable noninvasive brain-computer interface (BCI) technologies, such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), have experienced significant progress since their inception. However, these technologies have not achieved revolutionary advancements,...
2.
Zeeshan H, Sultana A, Bin Heyat M, Akhtar F, Parveen S, Bin Hayat M, et al.
Work
. 2025 Feb;
:10519815241308161.
PMID: 39973628
Background: The COVID-19 pandemic has significantly disrupted daily life and education, prompting institutions to adopt online teaching. Objective: This study delves into the effectiveness of these methods during the lockdown...
3.
Zeeshan H, Bin Heyat M, Sultana A, Bin Hayat M, Sayeed E, Akhtar F, et al.
Recent Adv Inflamm Allergy Drug Discov
. 2025 Feb;
PMID: 39950289
This study provides a comprehensive bibliometric analysis of global research on urticaria, aiming to chart its progression, assess its relevance, and explore the roles of oxidative stress, inflammation, and immunity...
4.
Kousar F, Sultana A, Albahar M, Shamkuwar M, Bin Heyat M, Bin Hayat M, et al.
Front Public Health
. 2025 Jan;
12:1373883.
PMID: 39882116
Background And Objective: This study delves into the parenting cognition perspectives on COVID-19 in children, exploring symptoms, transmission modes, and protective measures. It aims to correlate these perspectives with sociodemographic...
5.
Waheed Z, Gui J, Bin Heyat M, Parveen S, Bin Hayat M, Iqbal M, et al.
Comput Methods Programs Biomed
. 2025 Jan;
260:108579.
PMID: 39798279
Background: Gastrointestinal (GI) diseases pose significant challenges for healthcare systems, largely due to the complexities involved in their detection and treatment. Despite the advancements in deep neural networks, their high...
6.
Ansari M, Kumar S, Bin Heyat M, Ullah H, Bin Hayat M, Sumbul , et al.
Curr Med Imaging
. 2025 Jan;
PMID: 39773067
Background And Objective: Lung cancer remains a leading cause of cancer-related mortality worldwide, necessitating early and accurate detection methods. Our study aims to enhance lung cancer detection by integrating VGGNet-16...
7.
Ur Rehman A, Lu S, Ashraf M, Iqbal M, Nawabi A, Amin F, et al.
PeerJ Comput Sci
. 2024 Dec;
10:e2309.
PMID: 39650510
In recent years, the Internet of Things (IoT) has become one of the most familiar names creating a benchmark and scaling new heights. IoT an indeed future of the communication...
8.
Tahseen Z, Sofi G, Bin Heyat M, Jahan N, Rashid A
Altern Ther Health Med
. 2024 Aug;
30(7):20-27.
PMID: 39110046
Background: Obstruction and its consequences have become a threat to human health globally. It includes thrombosis, embolism, and obstruction in the airway, bile duct, lymphatic channels, and intestines. Through extensive...
9.
Iqbal M, Bin Heyat M, Parveen S, Bin Hayat M, Roshanzamir M, Alizadehsani R, et al.
Comput Med Imaging Graph
. 2024 Jun;
116:102400.
PMID: 38851079
In recent years, deep learning (DL) has emerged as a powerful tool in clinical imaging, offering unprecedented opportunities for the diagnosis and treatment of neurological disorders (NDs). This comprehensive review...
10.
Jian W, Li J, Haq A, Khan S, Alotaibi R, Alajlan S, et al.
Front Med (Lausanne)
. 2024 Jun;
11:1362397.
PMID: 38841592
Introduction: Heart disease remains a complex and critical health issue, necessitating accurate and timely detection methods. Methods: In this research, we present an advanced machine learning system designed for efficient...