Browsing by Author "Al Mamun, Md Abdullah"

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ASSESMENT OF ANIMAL WELFARE ISSUES IN CATTLE MARKET , CHITTAGONG, BANGLADESH
(Chattogram Veterinary and Animal Sciences University Chattogram-4225, Bangladesh, 2017-11) Al Mamun, Md Abdullah
The study was conducted to observe the actual condition of animal welfare issues during transportation, handling, and marketing of livestock animal specially cattle. A total of 200 cattle were examined at Sagorika Cattle market, Chittagong during the period of November 2017. The frequency of injuries and the transportation method was assessed. The data of different types of injuries (skin abrasion, tail injury, leg injury, head injury, wound) was collected from market directly by visual observation and palpation method. The frequency of injuries (46.5% out of 200 cattle) are 60 skin abrasion(64.5%, n=93), 5 leg injury(5.37%,n=93), 6 head injury(6.45%, n=93), 10 tail injury(10.75%,n =93), 12 wound (12.9%,n=93). Most of the injuries were occurred for the disobeying the rules of animal welfare during transportation and handling.
CASE REPORT ON TETANUS IN GOAT
(Chattogram Veterinary and Animal Sciences University Chattogram-4225, Bangladesh, 2017-11) Al Mamun, Md Abdullah
A 2-year-old female goat (weight-15kg) was referred to S. A. Qaderi Teaching Veterinary Hospital (SAQTVH), CVASU, Chittagong, Bangladesh with a 2 week history of deep wound caused by sharp object of iron made rod in hip region. On clinical examinations the goat showed frothy salivation, bending of neck, muscle stiffness, hyperesthesia and convulsions. Haematological and biochemical investigation were performed. On the basis of clinical and laboratory findings the goat was presumptively diagnosed that it was infected with tetanus. The treatment was combination of penicillin, tetanus antiserum, diazipum and normal saline. The goat was recovered after 7 days. Outcomes of the study will be useful for proper treatment of the disease.
E-commerce Merchant Fraud Detection using Machine Learning Approach
(Daffodil International University, 2022-06-20) Hasan, Fahim; Mondal, Sourov Kumar; Kabir, Md Rayhan; Al Mamun, Md Abdullah; Hossen, Md. Sagar; Rahman, Nur Salman
At present, e-commerce has become a global phenomenon. With the great achievement of ecommerce, many are cruel Promotional services are also increasing: with the aim of growing sales, spiteful marketers try to improve their target spectators by improving the outcomes of an illegal search using false travel, shopping, etc. In this report, we read about the problem of deception in major commerce platforms. First, we want to list the merchant fraud, the names of those who have previously committed fraud in the business will be marked on the list. And will train machines using machine learning approach. So that, if a merchant id is given in the system, it can detect whether the id is fraud or not. Our lesson here paper is predictable to hut light on the defense in contradiction of e-commerce fraud of active commerce platforms. In this research report, we proposed a machine learning model to analyze and identify merchant fraud. As a machine learning model, we choose the Random forests, decision tree and logistic regression algorithm for our model.