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Leveraging Subclass Learning

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  Leveraging Subclass Learning   "Leveraging Subclass Learning" refers to a machine learning strategy that enhances classification performance by breaking down broad, complex classes into more manageable, fine-grained subclasses . This approach helps models better capture intra-class variations and inter-class similarities , especially in imbalanced or hierarchical datasets. By introducing an additional layer of structure within existing labels, subclass learning: Improves feature discrimination by modeling subtle variations within a class. Enhances generalization by allowing the model to learn richer representations. Is particularly effective in few-shot , long-tailed , and fine-grained classification problems. Can be integrated with deep neural networks , meta-learning frameworks , and self-supervised learning to boost performance. Example Use Cases: Medical Imaging: Distinguishing subtypes of a disease (e.g., types of skin lesions) improves dia...
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Novel Sensor

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  Novel Sensor   A novel sensor refers to an innovative or newly developed sensing device designed to detect, measure, or respond to physical, chemical, or biological stimuli with enhanced performance compared to conventional sensors. These sensors often incorporate advanced materials, miniaturized structures, smart functionalities, or integration with emerging technologies like nanotechnology , artificial intelligence (AI) , Internet of Things (IoT) , and biocompatible systems . They are developed to achieve: Higher sensitivity and selectivity Faster response times Multi-analyte detection capabilities Energy efficiency Adaptability to harsh or dynamic environments Applications include : Wearable health monitoring (e.g., glucose, ECG, hydration) Environmental sensing (e.g., air pollutants, radiation) Smart infrastructure (e.g., structural health monitoring) Industrial automation (e.g., leak or defect detection) Food safety and securi...
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It’s time for Africa to embrace nuclear energy

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It’s time for Africa to embrace nuclear energy Two electrical engineers are seen in silhouette as they work on a power transformer.UNECA Across the continent, a staggering 600 million people remain without access to electricity, a number that translates into significant energy poverty, particularly in rural Africa, where 70-80 million need to gain access yearly to be on track to meet the 2030 universal access to electricity target. While our continent accounts for 17% of the world's population, we generate less than 3% of global electricity. This ‘power poverty’ stifles industrialization, limits healthcare outcomes, and constrains economic transformation even as Africa exports uranium and other critical minerals to power many parts of the world. Although there is remarkable progress across countries on the continent, the overall pace of progress is slow, requiring an ambitious shift towards nuclear energy, tailored to Africa's unique needs and opportunities. Confronting our fe...
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Nuclear Inspectors Have Left Iran: UN Watchdog

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Nuclear Inspectors Have Left Iran: UN Watchdog The suspension came after last month's 12-day conflict between Iran and Israel, which saw numerous unprecedented strikes on Iran's nuclear facilities.AFP UN nuclear watchdog inspectors left Iran on Friday, according to the agency, which called for the resumption of its "indispensable monitoring" after the Islamic republic officially suspended its cooperation. The suspension came after last month's 12-day conflict between Iran and Israel, which saw unprecedented Israeli and US strikes on Iran's nuclear facilities and escalated tensions between Tehran and the International Atomic Energy Agency (IAEA). "An IAEA team of inspectors today safely departed from Iran to return to the agency headquarters in Vienna, after staying in Tehran throughout the recent military conflict," the IAEA said in a post on X. "IAEA Director General Rafael Grossi reiterated the crucial importance of the IAEA discussing with I...
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Infrared Detection

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Infrared Detection   Infrared detection refers to the process of sensing and measuring infrared (IR) radiation, which is electromagnetic radiation with wavelengths longer than visible light, typically in the range of 0.75 to 1000 micrometers. Infrared detectors are widely used in both active and passive sensing technologies across various fields such as security, medical imaging, environmental monitoring, aerospace, and industrial automation. 🔷 Short General  Infrared detection enables non-contact sensing of heat and movement using invisible light wavelengths. Detect, visualize, and analyze thermal energy with precision through advanced infrared detection systems. Infrared detection plays a critical role in applications ranging from night vision to industrial inspections. Using IR technology, objects can be detected based on heat signatures—even in total darkness. Infrared sensors help transform environments into intelligent systems by monitoring heat and ...
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Assoc. Prof. Dr. Wei-Tai Hsu | Relay Protection Awards | Best Academic Researcher Award

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 Assoc. Prof. Dr. Wei-Tai Hsu | Zhaoqing University, China | Best Academic Researcher Award | He won the Best Academic Researcher Award in the International Research Awards on Sensing Technology by ScienceFather.   Web Site :  sensors.sciencefather.com Visit Web Site :  sciencefather.com Nomination Link :  https://sensors-conferences.sciencefather.com/award-nomination/?ecategory=Awards&rcategory=Awardee Contact as :  sensor@sciencefather.com Social Media Twitter : https://x.com/sciencefather2 Pinterest :  https://in.pinterest.com/business/hub/ Linkedin :  https://www.linkedin.com/feed/ you tube: https://www.youtube.com/@sensorconferenceawards/community #ScienceFather, #AirPollution,#RelayProtection, #ProtectionRelay, #PowerSystemProtection, #ElectricalProtection, #RelayCoordination, #ProtectionEngineering, #GridProtection, #SubstationProtection, #FeederProtection, #TransformerProtection, #BusbarProtection, #OvercurrentRelay, #Distanc...
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Medical Image Processing

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Medical Image Processing   General   Medical image processing involves the use of computational techniques to enhance, analyze, and interpret medical images from modalities such as X-rays, CT, MRI, PET, and ultrasound for improved diagnosis and treatment planning. Diagnostic Enhancement It enables accurate detection of abnormalities such as tumors, lesions, fractures, and organ deformities by applying algorithms that enhance image clarity and extract diagnostic features. Segmentation and Classification Advanced segmentation techniques are used to delineate anatomical structures and pathological regions, which are then classified using AI or machine learning models for automated diagnosis. 3D Reconstruction Medical image processing supports the transformation of 2D scans into 3D visualizations, aiding in surgical planning, radiation therapy, and educational applications. Deep Learning Integration Recent advances integrate deep learning and convoluti...
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