Nur-A-Alam Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider et al.
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the human body caused by the novel coronavirus. In December 2019, the coronavirus spread rapidly around the world, thought to be originated from Wuhan in China and is responsible for a large number of deaths. Earlier d...
Nur-A- Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider
Vehicles on the road are rising in extensive numbers, particularly in proportion to the industrial revolution and growing economy. The significant use of vehicles has increased the probability of traffic rules violation, causing unexpected accidents, and triggering traffic crimes. In order to overco...
Nur-A-Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider et al.
In the era of Industry 4.0, remote monitoring and controlling appliance/equipment at home, institute, or industry from a long distance with low power consumption remains challenging. At present, some smart phones are being actively used to control appliances at home or institute using Internet of Th...
Rafid Mostafiz, Mohammad Shorif Uddin, Nur-A- Alam, Md. Mahfuz Reza et al.
Chest X-ray image contains sufficient information that finds wide-spread applications in diverse disease diagnosis and decision making to assist the medical experts. This paper has proposed an intelligent approach to detect Covid-19 from the chest X-ray image using the hybridization of deep convolut...
Nur-A-Alam, Mostofa Ahsan, M.A. Based, Julfikar Haider et al.
This paper introduces an intelligent computational approach to automatically authenticate fingerprint for personal identification and verification. The feature vector is formed using combined features obtained from Gabor filtering technique and deep learning technique such as Convolutional Neural Ne...
Md Mahbubur Rahman, Mostofa Kamal Nasir, Md. Nur-A-Alam, Md. Saikat Islam Khan
Skin cancer is among the most common cancer types worldwide. Automatic identification of skin cancer is complicated because of the poor contrast and apparent resemblance between skin and lesions. The rate of human death can be significantly reduced if melanoma skin cancer could be detected quickly u...
Rafid Mostafiz, Mohammad Shorif Uddin, Nur-A- Alam, Md. Mahmodul Hasan et al.
Wahidur Rahman, Elias Hossain, Rahabul Islam, Md. Harun Ar Rashid et al.
<span>This paper reflects on the implementation of IoT enabled Farming, especially for the people needed a smart way of agriculture. This research focuses on real-time observation with efficient use of cheapest security system. The features of this research including i) Sensor data monitoring ...
Md Mahbubur Rahman, Mostofa Kamal Nasir, Nur A-Alam, Saikat Islam Khan et al.
Skin cancer is an exquisite disease globally nowadays. Because of the poor contrast and apparent resemblance between skin and lesions, automatic identification of skin cancer is complicated. The rate of human death can be massively reduced if melanoma skin cancer can be detected quickly using dermos...
Md. Nur-A-Alam, Mostofa Kamal Nasir, Mominul Ahsan, Md. Abdul Based et al.
Early identification of diabetic retinopathy (DR) is critical as it shows few symptoms at the primary stages due to the nature of its gradual and slow growth. DR must be detected at the early stage to receive appropriate treatment, which can prevent the condition from escalating to severe vision los...
Mohammad Nur-A-Alam, Mohammed Mezbaul Haque
Cellular mobile networks use time of arrival (TOA), time difference of arrival (TDOA), angle of arrival (AOA) or received signal strength (RSS) based measurement techniques for mobile position estimation. Each of these measurement techniques has its degree of accuracy and level of complexity. Indivi...
Md. Nur-A- Alam, Khandaker Mohammad Mohi Uddin, Md Mahbubur Rahman, M.M.R. Manu et al.
Cancer patients can benefit from early detection and diagnosis. This study proposes a machine vision strategy for detecting breast cancer in ultrasound images and correcting several ultrasound difficulties such artifacts, speckle noise, and blurring. In quantitative evolution, edge preservation crit...
Md. Nur-A-Alam, Mostofa Kamal Nasir, Mominul Ahsan, Md. Abdul Based et al.
The COVID-19 disease caused by coronavirus is constantly changing due to the emergence of different variants and thousands of people are dying every day worldwide. Early detection of this new form of pulmonary disease can reduce the mortality rate. In this paper, an automated method based on machine...
Nur A-Alam, Md. Saikat Islam Khan, Mostofa Kamal Nasir
century. The COVID19 disease is caused by a strain of coronavirus that led to the infection and death of millions of people and continues to do so unless we find mechanisms that enable healthcare providers to detect infections accurately and as early as possible. To that end, and to diagnose this lu...
Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, Md. Nur ‐A‐Alam et al.
ABSTRACT Nowadays, a wide range of electronic devices are being connected through the internet, and a wide range of cybercrimes are being coordinated. Phishing is one of the most serious online crimes. It poses a major threat to people and businesses, resulting in enormous financial losses and user‐...