Md. Akhtaruzzaman Adnan, Mohammad A. Razzaque, Md. Anowarul Abedin, S. M. Salim Reza et al.
Moshiur Rahman Tonmoy, Maria Shams, Md. Akhtaruzzaman Adnan, M. F. Mridha et al.
Lopa Ahmed, Isbat Khan Polok, Md. Adnanul Islam, M. Akhtaruzzaman et al.
Every individual’s everyday life has become a routine of expressing their ideas, opinions, emotions, and experiences through social networking sites and platforms on the internetin this era of rapid technological innovation. These points of view can be utilized to develop strategies for increasing e...
Ramisha Fariha Baki, Md. Akhtaruzzaman, Tahsin Ahmed Refat, Mouneeta Rahman et al.
A cognitive humanoid head is an AI enabled head-bot platform that resembles human's cognitive abilities, such as perception, thinking, learning, and decision-making. The platform is able to interact with human through natural language processing and recognize individuals, thus allowing seamless comm...
Md Shopon, Md. Akhtaruzzaman Adnan, M. F. Mridha
Wireless sensor networks are principally categorized by insufficient energy resource. Naturally, communication between the nodes is the utmost energy consuming act that they perform. Hence, development of a well-organized clustering algorithm can play a vital part in enhancing the lifetime of networ...
Muhammad Umar Nasir, Muhammad Farhan Khan, Muhammad Adnan Khan, Muhammad Zubair et al.
Lymphoma and leukemia are fatal syndromes of cancer that cause other diseases and affect all types of age groups including male and female, and disastrous and fatal blood cancer causes an increased savvier death ratio. Both lymphoma and leukemia are associated with the damage and rise of immature ly...
K M Mehedi Adnan, Zhao Xicang, Md. Akhtaruzzaman Khan, Swati Anindita Sarker et al.
Md. Sultanul Arefin, Tania Haider Surovi, Nazmun Nahar Snigdha, M. F. Mridha et al.
Nowadays state of the art health care systems are either based on hospital or household environs and its scope is confined to urban areas of a country. Yet traditional healthcare systems are facing challenges such as lack of ubiquity, use of backdated techniques, inadequacies in tracking, observing ...
Sumya Akter, Rumman Ahmed Prodhan, Muhammad Bin Mujib, Md. Akhtaruzzaman Adnan et al.
Rakib Ul Haque, A S M Touhidul Hasan, Tasnia Nishat, Md. Akhtaruzzaman Adnan
Abid Hasan, Md. Akhtaruzzaman Adnan
Analyzing DNA microarray data pose a serious challenge because of their large number of features (genes) and relatively small number of samples. Extracting features, those have predictive capability for classifying these huge datasets demands appropriate approaches like feature reduction and identif...
Rumman Ahmed Prodhan, Sumya Akter, Muhammad Bin Mujib, Md. Akhtaruzzaman Adnan et al.
Md. Siddiqure Rahman Tusher, Nakiba Nuren Rahman, Shabnaz Chowdhury, Anika Tabassum et al.
Automated License Plate Detection and Recognition (ALPDR) is a well-studied area of computer vision and a crucial activity in a variety of applications, including surveillance, law enforcement, and traffic management. Such a system plays a crucial role in the investigation of vehicle-related offensi...
Moshiur Rahman Tonmoy, Abdul Fattah Rakib, Rashik Rahman, Md. Akhtaruzzaman Adnan et al.
Font style recognition plays a vital role in the field of computer vision, particularly in document and pattern analysis, and image processing. In the industry context, this recognition of font styles holds immense importance for professionals such as graphic designers, front-end developers, and UI-...
Nowrin Tithi, Muhammad Waqas Ali, Md. Akhtaruzzaman Khan
Contamination of feed stuffs and ingredients with heavy metals has become a global issue due to the transmission of toxic substances within the human food chain. Therefore, this study was conducted to investigate the concentration of heavy metals in broiler and fish feed from some selected markets o...
Moshiur Rahman Tonmoy, Md. Akhtaruzzaman Adnan, Shah Murtaza Rashid Al Masud, Mejdl Safran et al.
Abstract Automated disease recognition plays a pivotal role in advancing smart artificial intelligence (AI)‐based agriculture and is crucial for achieving higher crop yields. Although substantial research has been conducted on deep learning‐based automated plant disease recognition systems, these ef...
Anil Mahmud, Md. Akhtaruzzaman Adnan, Md Shopon
In wireless sensor networks, clustering is a very crucial problem. Basically clustering means grouping some specific objects based on their behavior and functionality. Clustering can be formulated for different optimization problems, such as nonsmooth, nonconvex problems. This paper is based on the ...
M. F. Mridha, Aloke Kumar Saha, Md. Akhtaruzzaman Adnan, Molla Rashied Hussein et al.
Nakiba Nuren Rahman, Rashik Rahman, Nusrat Jahan, Md. Akhtaruzzaman Adnan
Md. Akhtaruzzaman Adnan, Atika Younus, Md. Harun Al Kawser, Natasha Adhikary et al.