International Conference on Sensing Technology

Biological Wastewater Treatment Market Driven by Environmental Regulations, Industrial Effluents, and Demand for Energy-Efficient, Eco-Friendly Treatment Solutions Biological Wastewater Treatment Market The biological wastewater treatment market is expected to reach at a CAGR 4.99% during the forecast period 2024-2031. Biological Wastewater Treatment Market is positioned for robust growth, and shifting market dynamics reshaping the competitive landscape. DataM Intelligence's new report provides data-driven insights, SWOT analysis, and marketing-ready intelligence for businesses seeking to improve market penetration and campaign ROI. Get your exclusive sample report today: (corporate email gets priority access): https://datamintelligence.com/download-sample/biological-wastewater-treatment-market?vs Biological Wastewater Treatment Market Overview & Landscape The biological wastewater treatment market is expanding steadily due to rising environmental regulations, urbanization, and...

 Tapered Optical Sensing            🔬 General Scientific Description Tapered optical sensing refers to the use of an optical fiber that has been gradually reduced in diameter (tapered) to enhance light–matter interaction. The tapered region increases the evanescent field, making it highly sensitive to changes in the surrounding environment such as refractive index, temperature, pressure, and chemical composition. 🧪 Sensor Technology Context Tapered optical fibers serve as ultra-sensitive platforms for optical sensors. The tapering process increases surface interaction, enabling the detection of minute variations in biochemical, environmental, or mechanical signals. These sensors are compact, passive, and suitable for remote and real-time monitoring. 💡 Photonics/Physics-Oriented Description In tapered optical sensors , the narrowing of the fiber alters modal propagation, increasing the evanescent field outside the fiber core. This allows extern...

  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...

  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...

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...

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...