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- 저자 : Tehseen Ullah (검색결과 3 건)
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Exploring Machine Learning Classifiers for Breast Cancer Classification
Inayatul Haq,Tehseen Mazhar,Hinna Hafeez,Najib Ullah,Fatma Mallek,Habib Hamam 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.4
Breast cancer is a major health concern affecting women and men globally. Early detection and accurate classification of breast cancer are vital for effective treatment and survival of patients. This study addresses the challenge of accurately classifying breast tumors using machine learning classifiers such as MLP, AdaBoostM1, logit Boost, Bayes Net, and the J48 decision tree. The research uses a dataset available publicly on GitHub to assess the classifiers' performance and differentiate between the occurrence and non-occurrence of breast cancer. The study compares the 10-fold and 5-fold cross-validation effectiveness, showing that 10-fold cross-validation provides superior results. Also, it examines the impact of varying split percentages, with a 66% split yielding the best performance. This shows the importance of selecting appropriate validation techniques for machine learning-based breast tumor classification. The results also indicate that the J48 decision tree method is the most accurate classifier, providing valuable insights for developing predictive models for cancer diagnosis and advancing computational medical research.
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Ali Raza Gurmani,Sami Ullah Khan,Amjad Ali,Tehseen Rubab,Timothy Schwinghamer,Ghulam Jilani,Abid Farid,Jinlin Zhang 한국원예학회 2018 Horticulture, Environment, and Biotechnology Vol.59 No.4
Greenhouse studies were undertaken to evaluate the genetic performance of two cucumber genotypes (Long Green and Summer Green) at four salinity levels (0, 25, 50, and 100 mM NaCl). Seeds were pretreated with 50 mg salicylic acid (SA) L−1 and 25 mg kinetin (Kin) L−1. Under hydroponic conditions, seed pretreatment with Kin significantly increased shoot and root dry biomass and reduced the salt injury index in both genotypes. SA reduced the salt injury index of Long Green cucumbers. In a pot experiment, Kin treatment reduced Na+ and increased K+ concentration, photosynthesis, and chlorophyll content in both genotypes, compared to SA under saline soil conditions. Kin treatment improved fruit yield in both genotypes, while SA had a statistically significant effect on Long Green fruit yield. The application of SA and Kin enhanced salinity tolerance in both genotypes by the activation of antioxidants, especially superoxide dismutase, peroxidase, and catalase, which offset oxidative injury. Summer Green exhibited better salt tolerance and improved osmoregulation that resulted in higher fruit yield than Long Green. It was concluded that cucumber genotypes differed in salt tolerance, and seed pre-treatment with Kin minimized salt stress injury, even in sensitive genotype which could sustain crop production under saline conditions.
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Wardah Anam,Munir Ashraf,Muhammad Bilal Qadir,Khurram Shehzad Akhtar,Sheraz Ahmad,Ali Afzal,Tehseen Ullah 한국섬유공학회 2019 Fibers and polymers Vol.20 No.12
In this research work, we have studied the dyeing behaviour of fabrics made from ring, rotor and MVS yarns. Thediscrete structure of respective yarns made by different spinning techniques have significant effect on dyeing behaviour offabrics. The fabrics were investigated for K/S values of polyester dyed, cotton dyed and polyester+cotton dyed fabrics andtheir colour fastness to crocking. The analysis of dyeing behaviour revealed that yarn manufacturing technique hassubstantial effect on the colour strength of their respective fabrics. Due to unique distribution of fibers within the crosssectionof yarn, the cotton dyed and polyester+cotton dyed fabrics made from MVS yarns exhibited better K/S values ascompared to other fabrics. The fabrics also exhibited a difference in colour fastness to crocking in dry and wet form. Thecolor fastness of fabrics to crocking in dry form were found higher than in wet form. The polyester dyed and polyester+cottondyed fabrics made from MVS yarns have shown higher color fastness to crocking.
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