This paper examines college students’ computer programming skills, emphasizing the effects of machine learning and logical and critical thinking. The reviewed articles used machine learning methods to evaluate attitu...
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The increasing levels of greenhouse gases and climate change, including phenomena such as El Nino, have caused extreme climatic events such as floods and droughts in various parts of the Indian subcontinent, disruptin...
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The increasing levels of greenhouse gases and climate change, including phenomena such as El Nino, have caused extreme climatic events such as floods and droughts in various parts of the Indian subcontinent, disrupting the cultivable environment for the crops. This unpredictability poses a challenge for the farmers. The proposed alternate crop recommendation system considers temperature, rainfall, soil, and market data to recommend alternate crops that are both sustainable for the climate and fetch higher prices. The proposed system uses stacking regressor with base learners such as Support Vector Regressor (SVR), Linear Regression (LR), and Random Forest Regressor (RFR) for yield prediction. The Gaussian naive Bayesian algorithm is used to calculate the standard precipitation index, which helps in classifying the drought levels. The experimental results show that the proposed system yields 97% accuracy in predicting yields with minimal root mean square error.
Skin cancer (SC), particularly melanoma, is a significant health issue due to its high mortality rate when not detected early. This study introduces a novel approach, FMICS: A Robust learning Methodology (Hybrid ANN +...
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The study compares the performance of Wireless Sensor Networks (WSNs) with 20, 30, 40, and 50 nodes in real-time AI-enhanced sensor analytics using the AODV routing protocol. All configurations showed a consistent Pac...
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Early detection is essential for enhancing patient outcomes, as oral cancer continues to be a substantial health challenge. This manuscript introduces the Optimized Neural learning and Classification Principle (ONLCP)...
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Hand gesture recognition is highly significant and a natural means of human-computer interaction. This detection is carried out by using the MPU- 6050 sensor, a widely available Inertial Measurement Unit (IMU). MPU-60...
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In today's era of rapid internet expansion, the need for efficient information retrieval tools is paramount. Recommendation systems serve as indispensable instruments, aiding users in navigating vast datasets swif...
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In histopathology image analysis, accurate segmentation of nuclei holds immense significance, particularly in the early detection and treatment of diseases like breast cancer. Nuclei segmentation is a fundamental but ...
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This research work is a work-in-progress study. Design Thinking is a way of thinking which is used in engineering classrooms to bring human-centric solutions. The study has integrated STEM by amalgamating interdiscipl...
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The fatigue detection method based on neural network has been widely applied in the field of land transportation. The accuracy varies by different methods and solutions. Disadvantages of current widely applied methods...
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