Mahmoud Dahmani, Muhammad E. H. Chowdhury, Amith Khandakar, Tawsifur Rahman et al.
In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. Moreover, there are millions of people suffering from diseases related to motor disabilities, which cause inability to produce controlled moveme...
Amith Khandakar, Sakib Mahmud, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz et al.
An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for foot complications is essential to avoid potentially devastating outcomes from c...
Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Md Shafayet Hossain, Muhammad E. H. Chowdhury et al.
Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-threatening. Respiration rate (RR) is a vital indicator of the wellness of a patient. Continuous monitoring of RR can provide early indication and thereby save lives. However, a rea...
Amran Hossain, Mohammad Tariqul Islam, Sharul Kamal Abdul Rahim, Md Atiqur Rahman et al.
Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is important for the examination and observation of the development of brain disease. In this paper, an eight-layered lightweight classifier model called microwave brain image network (MBINet) using a self-or...
Md. Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, Amith Khandakar et al.
Brain tumors present a significant global health challenge, and their early detection and accurate classification are crucial for effective treatment strategies. This study presents a novel approach combining a lightweight parallel depthwise separable convolutional neural network (PDSCNN) and a hybr...
Md. Nahiduzzaman, Lway Faisal Abdulrazak, Mohamed Arselene Ayari, Amith Khandakar et al.
This paper presents a novel approach that merges a lightweight parallel depth-wise separable convolutional neural network (LPDCNN) with a ridge regression extreme learning machine (Ridge-ELM) for precise classification of three lung cancer types alongside normal lung tissue (adenocarcinoma, large ce...
Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, M. Sohel Rahman et al.
Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kıranyaz et al.
In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received the highest level of attention in this regard. It has been proven with numerous...
Md. Mosarrof Hossen, Azad Ashraf, Mazhar Hasan, Molla E. Majid et al.
The escalating waste volume due to urbanization and population growth has underscored the need for advanced waste sorting and recycling methods to ensure sustainable waste management. Deep learning models, adept at image recognition tasks, offer potential solutions for waste sorting applications. Th...
Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel et al.
Abstract Diabetes mellitus (DM) can cause chronic foot issues and severe infections, including Diabetic Foot Ulcers (DFUs) that heal slowly due to insufficient blood flow. A recurrence of these ulcers can lead to 84% of lower limb amputations and even cause death. High-risk diabetes patients require...
Faizul Rakib Sayem, Md. Sakib Bin Islam, Mansura Naznine, Mohammad Nashbat et al.
Abstract Given the severity of waste pollution as a major environmental concern, intelligent and sustainable waste management is becoming increasingly crucial in both developed and developing countries. The material composition and volume of urban solid waste are key considerations in processing, ma...
Kanchon Kanti Podder, Maymouna Ezeddin, Muhammad E. H. Chowdhury, Md. Shaheenur Islam Sumon et al.
Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When a sign language user interacts with a non-sign language user, it becomes diff...
Amith Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali et al.
Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a higher risk of foot ulceration. Machine learning approaches applied to such infrar...
Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Md. Jawadul Karim et al.
Detecting colorectal polyps promptly and accurately is crucial in preventing the progression of colorectal cancer. These polyps cause severe conditions in the colon or rectum, presenting a significant diagnostic challenge. Traditional manual detection through medical imaging is not only bulky and pr...
Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kıranyaz et al.
Abstract Raman spectroscopy provides a vibrational profile of the molecules and thus can be used to uniquely identify different kinds of materials. This sort of molecule fingerprinting has thus led to the widespread application of Raman spectrum in various fields like medical diagnosis, forensics, m...