Genetic diversity in crops refers to the range of genetic differences within and between plant species. This diversity determines how crops grow, resi
Plant Mutation Types: Sources of Genetic Variation in Crops
Posted on by Fachrur Rozi
Mutations in plants are changes in the DNA sequence that create new traits or variations. Although the word “mutation” often sounds negative, in p
Inherited Plant Traits: How Characteristics Pass From One Generation to the Next
Posted on by Fachrur Rozi
Inherited plant traits are characteristics that are passed from parent plants to their offspring through genetic material. These traits determine how
Gene Function: How Genes Control Growth, Traits, and Survival
Posted on by Fachrur Rozi
Every visible trait in a plant—whether it is leaf shape, flower color, or drought tolerance—comes from the way its genes work. Gene function in pl
UMA Dorong UMKM Keripik Pisang Go Digital Melalui Inovasi dan Pelatihan Produksi
Posted on by Fachrur Rozi
Universitas Medan Area (UMA) terus menunjukkan komitmennya dalam memberdayakan masyarakat melalui kegiatan pengabdian berbasis inovasi dan teknologi.
Energy-Efficient AI for Autonomous Vehicles: Driving Sustainability
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Autonomous vehicles (AVs) rely heavily on artificial intelligence (AI) to perceive their environment, make decisions, and execute control actions in r
Machine Learning for Smart Grid Optimization: Efficiency and Sustainability
Posted on by Fachrur Rozi
Smart grids are modernized electrical grids that use digital communication and advanced technologies to monitor, control, and optimize the flow of ele
Energy-Aware AutoML: Balancing Accuracy and Sustainability
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Automated Machine Learning (AutoML) has transformed the way machine learning models are designed, making it easier to generate high-performing models
Model Pruning for Performance and Efficiency in Machine Learning
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Model pruning is an essential technique in machine learning that focuses on reducing the size of neural networks by eliminating unnecessary weights, n
Reinforcement Learning Algorithms for Low-Power Devices
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Reinforcement Learning (RL) is a powerful paradigm in machine learning where agents learn to make decisions through trial and error, guided by rewards
