results 361-372 of 557
Designing AI-empowered IoT Framework for Oil & Gas Operation and Maintenance Management
25/04/2024
Inventors: Vinay Chamola
Designing an AI-empowered IoT framework for oil and gas operation and maintenance management involves integrating artificial intelligence with Internet of Things (IoT) technologies to optimize industry processes. The framework employs IoT sensors to collect real-time data on equipment performance, environmental conditions, and operational parameters. AI algorithms analyze this data to...
Designing an AI-empowered IoT framework for oil and gas operation and maintenance management involves integrating artificial intelligence with Internet of Things (IoT) technologies to optimize industry processes. The framework employs IoT sensors to collect real-time data on equipment performance, environmental conditions, and operational parameters. AI algorithms analyze this data to predict equipment failures, optimize maintenance schedules, and improve operational efficiency. Predictive analytics and machine learning enhance decision-making by identifying potential issues before they occur and recommending proactive measures. This integrated approach improves safety, reduces downtime, and lowers operational costs, supporting efficient and sustainable management in the oil and gas sector. (EEE)
Enhancing Generative AI-based Creativity using Multi-Modal Input for Better Output Generation
25/04/2024
Inventors: Vinay Chamola
Enhancing generative AI-based creativity with multi-modal input involves integrating diverse data types—such as text, images, audio, and video—to improve output quality and diversity. By combining these modalities, AI models gain a more comprehensive understanding, leading to richer and more contextually relevant creations. Multi-modal inputs enable the AI to generate innovative...
Enhancing generative AI-based creativity with multi-modal input involves integrating diverse data types—such as text, images, audio, and video—to improve output quality and diversity. By combining these modalities, AI models gain a more comprehensive understanding, leading to richer and more contextually relevant creations. Multi-modal inputs enable the AI to generate innovative and nuanced content, making it particularly valuable in fields like art, design, and multimedia production. This approach allows for more sophisticated and creative outputs, as the AI can draw from a broader spectrum of information and insights, enhancing overall generative capabilities and effectiveness. (EEE)
Encapsulated PCM-Based Magnetic nanoparticles and AI Applications for Optimising Separation of Carcinogenic Industrial Solvents Using solar Energy: Shaping Towards Sustainable Development
29/04/2024
Inventors: Suvanjan Bhattacharyya
Encapsulated PCM-based magnetic nanoparticles, combined with AI applications, optimize the separation of carcinogenic industrial solvents using solar energy, advancing sustainable development. The nanoparticles integrate phase change materials (PCMs) with magnetic properties to efficiently separate and recover solvents. PCMs manage thermal energy, while magnetic features enable easy removal with external fields....
Encapsulated PCM-based magnetic nanoparticles, combined with AI applications, optimize the separation of carcinogenic industrial solvents using solar energy, advancing sustainable development. The nanoparticles integrate phase change materials (PCMs) with magnetic properties to efficiently separate and recover solvents. PCMs manage thermal energy, while magnetic features enable easy removal with external fields. AI enhances this process by analyzing real-time data and adjusting operational parameters for optimal performance. Solar energy drives the system, reducing reliance on fossil fuels and minimizing environmental impact. This innovative approach improves separation efficiency, promotes eco-friendly practices, and supports the shift towards sustainable industrial processes. (Mechanical Engineering)
Multilingual AI for Controlled sensing and Communications
29/04/2024
Inventors: Syed Mohammad Zafaruddin
Multilingual AI for controlled sensing and communications utilizes advanced natural language processing to handle data and interactions in multiple languages. It integrates AI algorithms to interpret sensor data accurately, regardless of linguistic diversity, ensuring effective and context-aware information processing. In communications, it provides real-time translation and interpretation, facilitating seamless interactions...
Multilingual AI for controlled sensing and communications utilizes advanced natural language processing to handle data and interactions in multiple languages. It integrates AI algorithms to interpret sensor data accurately, regardless of linguistic diversity, ensuring effective and context-aware information processing. In communications, it provides real-time translation and interpretation, facilitating seamless interactions across different languages. This technology enhances global operations by breaking language barriers, improving accessibility, and supporting diverse user needs. By combining language understanding with contextual insights, multilingual AI optimizes data management and decision-making, making it valuable for international customer service, cross-cultural communication, and global market analysis. (EEE)
Design, Synthesis and Characterization of Stimuli Scaffolds for Bio-analyte Sensing and Cancer Diagnostics
06/05/2024
Inventors: Partha Sarathi Addy
Design, synthesis, and characterization of stimuli-responsive scaffolds for bio-analyte sensing and cancer diagnostics involve creating advanced materials that detect specific biomarkers. Design focuses on integrating responsive elements, such as pH or temperature-sensitive groups, into the scaffold to ensure targeted detection of bio-analytes. Synthesis involves fabricating these materials through methods like...
Design, synthesis, and characterization of stimuli-responsive scaffolds for bio-analyte sensing and cancer diagnostics involve creating advanced materials that detect specific biomarkers. Design focuses on integrating responsive elements, such as pH or temperature-sensitive groups, into the scaffold to ensure targeted detection of bio-analytes. Synthesis involves fabricating these materials through methods like polymerization or self-assembly, ensuring they can alter their properties in response to external stimuli. Characterization employs techniques such as spectroscopy and microscopy to verify the scaffold’s functionality, stability, and biocompatibility. These scaffolds offer high specificity and sensitivity, enhancing diagnostic capabilities for cancer and other diseases. (Chemistry)
Ensuring Food Security through AI Assisted Robust Agriculture at Scale
09/05/2024
Inventors: Navneet Goyal
Ensuring food security through AI-assisted robust agriculture involves deploying advanced technologies to enhance crop production and sustainability. AI tools analyze data from various sources—such as soil conditions, weather patterns, and crop health—to optimize farming practices and resource use. Precision agriculture techniques, driven by machine learning and data analytics, enable precise...
Ensuring food security through AI-assisted robust agriculture involves deploying advanced technologies to enhance crop production and sustainability. AI tools analyze data from various sources—such as soil conditions, weather patterns, and crop health—to optimize farming practices and resource use. Precision agriculture techniques, driven by machine learning and data analytics, enable precise irrigation, fertilization, and pest management. AI-powered yield predictions improve planning and supply chain efficiency, while automated monitoring systems use drones and sensors to detect plant diseases and environmental changes. By scaling these AI-driven solutions, agriculture becomes more resilient, efficient, and capable of meeting global food demands sustainably. (CS&IS)
Copper Cathode Quality Improvement & Reduction in Bleed to ETP
19/04/2024
Inventors: Mrinmoyee Basu
Copper cathode quality improvement and reduction in bleed to ETP (Effluent Treatment Plant) involve enhancing the production efficiency and minimizing environmental impact in copper refining processes. Quality improvement focuses on refining electrolysis techniques to produce cathodes with higher purity, better surface quality, and fewer defects. This may include optimizing electrolyte...
Copper cathode quality improvement and reduction in bleed to ETP (Effluent Treatment Plant) involve enhancing the production efficiency and minimizing environmental impact in copper refining processes. Quality improvement focuses on refining electrolysis techniques to produce cathodes with higher purity, better surface quality, and fewer defects. This may include optimizing electrolyte composition, current density, and temperature control during electrolysis.
Reducing bleed to ETP aims to lower the volume of copper-containing waste sent for treatment. Strategies include better recovery and recycling of copper-rich solutions, optimizing process operations to minimize waste generation, and improving effluent management practices. This dual approach not only boosts the quality of the final product but also enhances sustainability by reducing waste and operational costs associated with effluent treatment. (Chemistry)
Copper Cathode Quality Improvement & Reduction in Bleed to ETP
19/04/2024
Inventors: Jay Pandey
Copper cathode quality improvement and reduction in bleed to ETP (Effluent Treatment Plant) focus on optimizing the production process and minimizing waste in copper refining. Improving cathode quality involves refining techniques to enhance purity, consistency, and overall performance of the copper product. This includes optimizing electrolysis parameters and refining electrolytes...
Copper cathode quality improvement and reduction in bleed to ETP (Effluent Treatment Plant) focus on optimizing the production process and minimizing waste in copper refining. Improving cathode quality involves refining techniques to enhance purity, consistency, and overall performance of the copper product. This includes optimizing electrolysis parameters and refining electrolytes to produce high-quality cathodes with fewer defects.
Reducing bleed to ETP aims to minimize the volume of copper-bearing effluent sent to the treatment plant, thus decreasing waste management costs and improving environmental compliance. Strategies include better control of process variables, improved recycling of copper-rich streams, and efficient waste segregation. This integrated approach enhances operational efficiency, reduces environmental impact, and supports sustainable practices in copper production. (Chemical Engineering)
Sentiment-Based Business Recommendations using Large-Language Models
01/04/2024
Inventors: Pratik Narang
Sentiment-based business recommendations using large language models involve analyzing customer sentiment from various data sources—such as reviews, social media, and feedback—to generate actionable business insights. By leveraging advanced language models like GPT-4, businesses can process and interpret vast amounts of text data to identify sentiment trends and customer preferences. These...
Sentiment-based business recommendations using large language models involve analyzing customer sentiment from various data sources—such as reviews, social media, and feedback—to generate actionable business insights. By leveraging advanced language models like GPT-4, businesses can process and interpret vast amounts of text data to identify sentiment trends and customer preferences. These models can categorize sentiments into positive, negative, or neutral, and correlate them with specific products or services. The insights derived help businesses tailor strategies, optimize customer experience, and make data-driven decisions. This approach enhances decision-making processes by integrating nuanced customer feedback into strategic planning and marketing efforts. (CS&IS)
A Portable Image-Guided Robotic Cold Plasma System for Localized and Targeted Therapy of Oral Cancers
23/02/2024
Inventors: Radha Raman Mishra
A portable image-guided robotic cold plasma system for localized and targeted therapy of oral cancers combines advanced imaging with robotic precision to deliver effective treatment. This system utilizes cold plasma—a partially ionized gas known for its antimicrobial and tissue-sterilizing properties—to target cancerous tissues in the oral cavity. The portable design...
A portable image-guided robotic cold plasma system for localized and targeted therapy of oral cancers combines advanced imaging with robotic precision to deliver effective treatment. This system utilizes cold plasma—a partially ionized gas known for its antimicrobial and tissue-sterilizing properties—to target cancerous tissues in the oral cavity. The portable design allows for flexibility and ease of use in various clinical settings. Integrated imaging techniques, such as endoscopy or optical coherence tomography, guide the robotic arm to precisely administer cold plasma, ensuring localized treatment while minimizing damage to surrounding healthy tissues. This innovative approach aims to enhance therapeutic efficacy and improve patient outcomes in oral cancer management. (Mechanical Engineering)
Non Invasive Intoxication Detection through Computer vision & Artificial Intelligence
15/02/2024
Inventors: Kamlesh Tiwari, Yashvardhan Sharma
Non-invasive intoxication detection through computer vision involves using advanced imaging techniques and artificial intelligence to identify signs of intoxication without requiring physical contact or invasive procedures. Computer vision systems analyze visual data from cameras, such as facial expressions, eye movements, and body posture, to detect behavioral changes associated with intoxication....
Non-invasive intoxication detection through computer vision involves using advanced imaging techniques and artificial intelligence to identify signs of intoxication without requiring physical contact or invasive procedures. Computer vision systems analyze visual data from cameras, such as facial expressions, eye movements, and body posture, to detect behavioral changes associated with intoxication. Machine learning algorithms process this data to assess levels of impairment accurately. This technology has applications in various fields, including law enforcement for roadside sobriety tests and safety monitoring in workplaces. The approach aims to provide a quick, reliable, and user-friendly method for assessing intoxication levels while enhancing safety and compliance. (CS&IS)
Novel Self-Healing Concrete using Electric Arc Furnace Slag based Alkali Activated Materials
28/03/2024
Inventors: Mukund Lahoti
Novel self-healing concrete using electric arc furnace slag-based alkali-activated materials introduces an innovative approach to concrete durability and sustainability. This self-healing concrete utilizes alkali-activated materials derived from electric arc furnace (EAF) slag, a byproduct of steel production, to enhance concrete's resistance to cracks and damage. The alkali activation process transforms...
Novel self-healing concrete using electric arc furnace slag-based alkali-activated materials introduces an innovative approach to concrete durability and sustainability. This self-healing concrete utilizes alkali-activated materials derived from electric arc furnace (EAF) slag, a byproduct of steel production, to enhance concrete's resistance to cracks and damage. The alkali activation process transforms EAF slag into a binder with properties that encourage the formation of self-healing compounds within the concrete matrix. When cracks occur, the self-healing agents react with moisture and CO2 to seal the cracks, restoring concrete integrity and extending its lifespan. This method not only repurposes industrial waste but also improves concrete's longevity and environmental footprint. (Civil Engineering)
An Institute of Eminence
