Turkish Journal of Computer and Mathematics Education (TURCOMAT)
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DETECTING PANCREATIC CANCER WITH MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
No full textThe great majority of the computer systems that are now being utilized for research on medical health systems are based on the most recent technical breakthroughs. Because of the prevalence of pancreatic cancer, a significant number of novel approaches and techniques have emerged in the field of medicine. There are several various classifications that may be applied to the pancreatic cancer that can be found. Utilization of the deep learning technology is going to be the means by which the classification of pancreatic cancer is going to be completed. The classification of pancreatic cancer may be tackled from a variety of angles, each of which can be accomplished via using either technology for machine learning or technology for deep learning. In the past, a diagnosis of pancreatic cancer could be made by using methods such as the Support Vector Machine (SVM), Artificial Neural Networks, Convolution Neural Networks (CNN), and Twin Support Vector Machines. As a result, this study has implemented an Advanced Convolution Neural Networks (ACNN), which are examples of the type of technology known as deep learning. In the vast majority of the existing research works, the classification has been determined by analyzing the images of the patient, With the help of constant values and ACNN strategies, the performance rate was enhanced in contrast to the approaches that were currently being used
A EFFCIET DEEP FAKE FACE DETECTION USING DEEP INCEPTION NET LEARNING ALGORITHM
No full textA Deep Fake Is Digital Manipulation Techniques That Use Deep Learning to Produce Deep Fake (Misleading) Images and Videos. Identifying Deep Fake Images Is the Most Difficult Part of Finding the Original. Due To the Increasing Reputation of Deep Fakes, Identifying Original Images and Videos Is More Crucial to Detect Manipulated Videos. This Paper Studies and Experiments with Different Methods That Can Be Used to Detect Fake and Real Images and Videos. The Convolutional Neural Network (Cnn) Algorithm Named Inception Net Has Been Used to Identify Deep Fakes. A Comparative Analysis Was Performed in This Work Based on Various Convolutional Networks. This Work Uses the Dataset from Kaggle With 401 Videos of Train Sample And 3745 Images Were Generated by Augmentation Process. The Results Were Evaluated with The Metrics Like Accuracy and Confusion Matrix. The Results of The Proposed Model Produces Better Results in Terms of Accuracy With 93% On Identifying Deep Fake Images and Videos
VLSI Implementation of Speech Steganography with Advanced Wavelet Transform
No full textIn the realm of secure communication systems, the integration of advanced wavelet transforms into speech steganography systems has emerged as a promising path. Secure transmission of sensitive information in military communications, confidential exchange of data in corporate environments, and protection of personal information in telecommunication networks. However, the current system employs conventional methods of speech steganography, relying on basic encryption techniques and simplistic embedding algorithms. While functional, these approaches lack robustness and fail to adequately conceal secret data within speech signals, leaving them vulnerable to detection and interception. So, the proposed system leverages advanced wavelet transforms to enhance the security and efficiency of speech steganography. By exploiting the multi-resolution analysis capabilities of wavelets, the system achieves improved embedding capacity while maintaining perceptual transparency. Additionally, the use of dynamic embedding algorithms based on wavelet coefficients ensures adaptability to varying signal characteristics, enhancing robustness against attacks and noise interference. The VLSI implementation of this system optimizes resource utilization and computational efficiency, making it suitable for real-time applications in communication systems
THE EFFECT OF COOPERATIVE LEARNING THEORY ON THE TEACHING OF TRIGONOMETRY AT HIGH SCHOOLS
No full textThe benefits of enacting lessons anchored on Cooperative learning (CL) in mathematics has been well documented. However, in particular, the effect of CL on the teaching of trigonometry is rare at the second cycled educational institutions. This study, therefore, is aimed at exploring the efficacy of CL in enhancing meaningful teaching and learning of trigonometry at the Senior High School (SHS) in Ghana. Mixed method research design was employed to collect data using a questionnaire with both close-ended and open-ended items, and trigonometric achievement tests with essay type questions. A stratified sampling approach was used to select 55 students as the participants in the study. Descriptive statistics, paired sample t-test and thematic coding were used in analysing the data. The findings showed that, there were significant improvement in the students’ learning outcomes in trigonometry. In particular, the study revealed improved performance in students’ pre-test and post-test scores after participating in CL lessons. Finally, the students’ overall positive dispositions towards the CL-lessons were reflected in high means scores on the subscales: -Positive interdependence, Individual accountability, Face-to-face promotive interaction, Social skills and Group processing, depicting favourable experiences with the CL-lessons. To this end, the authors argue that, to develop higher order thinking skills in students the use of CL in the teaching and learning of trigonometry ought to be prioritised. It is recommended that; management of educational institution should consider conducting professional development training for educators who desire CL as a means of instruction. Implications for policy and further research are discussed
CHEMICAL PERSPECTIVES ON THE IMPACT OF CLIMATE CHANGE IN AFGHANISTAN: A COMPREHENSIVE REVIEW
No full text: Climate change is a global phenomenon that has significant impacts on various aspects of human life, including the environment, economy, and social well-being. Afghanistan, one of the least developed and most vulnerable countries to climate change, is facing alarming effects due to its high dependence on agricultural livelihoods, fragile environment, poor socio-economic development, high frequency of natural hazards, and over four decades of conflict. This comprehensive review aims to provide an overview of the current state of knowledge on the impact of climate change on Afghanistan\u27s environment, economy, and society, and to highlight the vulnerability of Afghanistan to climate change. The review also explores the chemical composition of air pollutants in Afghan cities, the impact of air and water pollution on human health and the environment, the influence of climate change on soil composition and nutrient availability, and the implications for water resources, including groundwater quality and availability. Finally, the review discusses the chemical aspects of climate change adaptation and mitigation efforts in Afghanistan, focusing on innovative technologies and practices to address climate-related challenges in the country
Revolutionizing Cloud Modernization through AI Integration
No full textThis comprehensive research paper explores the transformative impact of Artificial Intelligence (AI) on cloud computing modernization. It examines the current state of cloud infrastructure, identifies key AI technologies driving innovation, and analyses strategies for AI-driven cloud modernization. The study investigates implementation approaches, presents case studies from major cloud providers, and discusses challenges and future trends. Through extensive analysis of recent developments and industry data, this research highlights the symbiotic relationship between AI and cloud computing, demonstrating how AI is revolutionizing cloud architectures, improving efficiency, enhancing security, and enabling new services. The paper concludes with an assessment of the economic impact and provides recommendations for businesses navigating this technological frontier
SOLVING THE ASSIGNMENT PROBLEM VIA THE ABSOLUTE DIFFERENCE CALCULATION ALGORITHM
No full text The assignment problem is a fundamental combinatorial optimization challenge with applications across industries, where resources must be assigned to tasks in a cost-efficient manner. Traditional approaches, such as the Hungarian algorithm, minimize assignment costs by reducing the matrix to an optimal form. This study introduces an alternative approach using an "absolute difference calculation" algorithm, in which each element’s difference from the minimum or maximum in its row is evaluated and adjusted iteratively to ensure feasible solutions and finally MATLAB program is used to solve example
Corporate Legal Liability for Environmental Damage (Case Study of Corporate Liability in Indonesia)
No full textIndonesia adopts environmental laws relatively oriented towards fines, although corporate participation in various laws regulating the environment is low. Therefore, it is necessary to develop the concept of responsibility. Corporations, especially in the event of environmental pollution or damage by the corporation. The purpose of this research is to see and identify the extent to which forms of responsibility for the composition of environmental damage, both in terms of punishment and compensation. This research was conducted using qualitative methods and normative juridical approaches. The results show that the application of the concept of Strict Liability to business actors accused of environmental crimes will impact investigating environmental crimes. The principle of Strict Liability is regulated explicitly in Law Number 32 of 2009 concerning Environmental Protection and Management. The principle of strict liability will make it easier for public prosecutors, that in the process of proof in court, public prosecutors do not need to prove mistakes in the form of deliberate acts or negligence on the part of the corporation that has committed a criminal act. The public prosecutor does not need to prove the existence of law enforcement or corporate motives for environmental crimes
HOME, SCHOOL AND STUDENTS’ CHARACTERISTICS AS PREDICTORS OF SENIOR SECONDARY SCHOOL STUDENTS’ ACHIEVEMENT IN MATHEMATICS
No full textStudents’ performance in mathematics in Nigeria in recent times is not at a desired level. Despite relentless efforts by stakeholders to improve on this situation, yet no significant change. Studies that looked into student’s variables combined with importance of mathematics, teacher, school, and parent variables to predict students’ achievement in mathematics, seem not to be in existence. Thus, empirical documentation of such is needful. This study assessed home, school and students’ characteristics as predictors of Senior Secondary School students’ achievement in Mathematics in Osun State. Expo-facto design of non-experimental type was used. Descriptive statistics and Multiple Regression were used to analyze data at 0.05 alpha level. Results reveal that parenting type, family size, teachers qualification, years of teaching, class size, interest in mathematics, student academic engagement, and importance of mathematics, jointly accounted for 11% of observed variance in achievement in Mathematics, and it is statistically significant, F(17,575) = 5.183; P < 0.05. Also, importance of mathematics, student engagement, teachers qualification, class size and teacher years of teaching, were found to have significant relative contribution towards students’ achievement in mathematics, and they could reliably predict achievement in mathematics
The Impact Of Using 5G Technology In The Development Of Information Technology Applications
No full textOur study aims To apply 5G technology in the fields of information technology, where the study includes the application of 5G technology in information technology applications and artificial intelligence applications, where an algorithm is created to determine the extent of development taking place in developing programs over the Internet and managing them remotely and controlling them as a result of the speed of 5G technology, which is equivalent to hundreds of times from previous technologies (4G / 3G / 2G) Heading over the advantages and disadvantages of using 5G technology, through the use of the algorithm, the extent of development is evaluated and the use of this evaluation in developing other areas of technology to create a technological environment that can be controlled remotely that carries out all electronic governance activities as well as multiple areas of life