102 20 11858 https://archives.christuniversity.in/files/original/2c4cba26dc7fab43d7cf65029870c547.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stock market prediction using artificial neural networks in python / Subject The topic of the resource Stock Market Description An account of the resource Patent Number: 202231052415, Applicant: Dr. Rashel Sarkar. When the issue of forecasting time series is mentioned, the reader, listener, or observer instantly considers forecasting stock prices. This should help individuals determine when to sell and when to purchase more. On occasion, we encounter resources that explain how this is possible. Throughout Deep Learning with Python, Chollet cautions against using time series prediction algorithms to estimate market values. You should not attempt to predict how the stock market will behave in the future based on past performance. Due to the design of the martingale system, the present price of a share of stock is the most accurate indicator of its future price (in terms of the error associated with estimation). Creator An entity primarily responsible for making the resource Das, Sheshanwita. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view" target="_blank" title="Stock market prediction using artificial neural networks in python /" rel="noreferrer noopener">https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/8363fdbc1af9f0ddf41f7e335624afc5.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stock market prediction using artificial neural networks in python / Subject The topic of the resource Stock Market Description An account of the resource Patent Number: 202231052415, Applicant: Dr. Rashel Sarkar. When the issue of forecasting time series is mentioned, the reader, listener, or observer instantly considers forecasting stock prices. This should help individuals determine when to sell and when to purchase more. On occasion, we encounter resources that explain how this is possible. Throughout Deep Learning with Python, Chollet cautions against using time series prediction algorithms to estimate market values. You should not attempt to predict how the stock market will behave in the future based on past performance. Due to the design of the martingale system, the present price of a share of stock is the most accurate indicator of its future price (in terms of the error associated with estimation). Creator An entity primarily responsible for making the resource Ganguly, Deeksha Gupta. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view" target="_blank" title="Stock market prediction using artificial neural networks in python /" rel="noreferrer noopener">https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/c2b45339322c101722c71c2684541324.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of pharmacy industries growth on India economy during covid 19 / Subject The topic of the resource Chemical Description An account of the resource Patent Number: 202241050891, Applicant: Deepha V. Impact of Pharmacy Industries growth on India Economy during COVID 19 Abstract Pharmacy is an industry that can continue to function without being affected by economic fluctuations. This industry is socially respected by people. Whether people have food to eat or not, everyone wants to preserve the health of the body. In particular, the demand for medicines is more than ever in today's era. Creator An entity primarily responsible for making the resource Sharma, Nitika. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1byFWOj4TOY0-MwQnzaWd5EwAK9we2eCh/view" target="_blank" title="Impact of pharmacy industries growth on India economy during covid 19 /" rel="noreferrer noopener">https://drive.google.com/file/d/1byFWOj4TOY0-MwQnzaWd5EwAK9we2eCh/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/eb5972a494cf83a6e2e4ff1a13a17113.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of pharmacy industries growth on India economy during covid 19 / Subject The topic of the resource Chemical Description An account of the resource Patent Number: 202241050891, Applicant: Deepha V. Impact of Pharmacy Industries growth on India Economy during COVID 19 Abstract Pharmacy is an industry that can continue to function without being affected by economic fluctuations. This industry is socially respected by people. Whether people have food to eat or not, everyone wants to preserve the health of the body. In particular, the demand for medicines is more than ever in today's era. Creator An entity primarily responsible for making the resource Mishra, Ranjeet Kumar. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1byFWOj4TOY0-MwQnzaWd5EwAK9we2eCh/view" target="_blank" title="Impact of pharmacy industries growth on India economy during covid 19 /" rel="noreferrer noopener">https://drive.google.com/file/d/1byFWOj4TOY0-MwQnzaWd5EwAK9we2eCh/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/06c2177bec615afbf75ae64f9bc13322.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of pharmacy industries growth on India economy during covid 19 / Subject The topic of the resource Chemical Description An account of the resource Patent Number: 202241050891, Applicant: Deepha V. Impact of Pharmacy Industries growth on India Economy during COVID 19 Abstract Pharmacy is an industry that can continue to function without being affected by economic fluctuations. This industry is socially respected by people. Whether people have food to eat or not, everyone wants to preserve the health of the body. In particular, the demand for medicines is more than ever in today's era. Creator An entity primarily responsible for making the resource Srivastava, Surbhi. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1byFWOj4TOY0-MwQnzaWd5EwAK9we2eCh/view" target="_blank" title="Impact of pharmacy industries growth on India economy during covid 19 /" rel="noreferrer noopener">https://drive.google.com/file/d/1byFWOj4TOY0-MwQnzaWd5EwAK9we2eCh/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/495a6101e15b611a27625d1c6cf0f68b.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of pharmacy industries growth on India economy during covid 19 / Subject The topic of the resource Chemical Description An account of the resource Patent Number: 202241050891, Applicant: Deepha V. Impact of Pharmacy Industries growth on India Economy during COVID 19 Abstract Pharmacy is an industry that can continue to function without being affected by economic fluctuations. This industry is socially respected by people. Whether people have food to eat or not, everyone wants to preserve the health of the body. In particular, the demand for medicines is more than ever in today's era. Creator An entity primarily responsible for making the resource S, Pramila. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1byFWOj4TOY0-MwQnzaWd5EwAK9we2eCh/view" target="_blank" title="Impact of pharmacy industries growth on India economy during covid 19 /" rel="noreferrer noopener">https://drive.google.com/file/d/1byFWOj4TOY0-MwQnzaWd5EwAK9we2eCh/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/ba104d68d7c3a9231b03d84b5942783d.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Pen mouse/14-02 Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 365494-001, Applicant: Ritwika Das Gupta. Creator An entity primarily responsible for making the resource Samanta, Debabrata. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1h-1ymgMvhIAgAy1tjlGDm_Vh91Bm0LrE/view" target="_blank" title="Pen mouse/14-02" rel="noreferrer noopener">https://drive.google.com/file/d/1h-1ymgMvhIAgAy1tjlGDm_Vh91Bm0LrE/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/413d2e1b08aecc90e89c7b29b2cee6a8.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A hand glove-based system and method for allowing physically-impaired persons to communicate by identifying speech/messages / Subject The topic of the resource Electronics Description An account of the resource Patent Number: 202221053593, Applicant: Hemant Verma.The present invention generally relates to a hand glove system for allowing physically impaired persons to communicate by identifying speech and messages comprises a hand glove worn on a user hand and fitted with a plurality of micro push buttons configured with alphabets and numbers marked in each of the plurality of push buttons for generating a message signal; a GPS device coupled to the hand glove for detecting real time geolocation of the user; a control unit electrically coupled to the plurality of micro push buttons for converting specified alphabet or number from the received message signal; and a communication device for transferring the converted message signal along with real time geo-location of the user to a registered person/local guardian device to ask for a help in case of an emergency. Creator An entity primarily responsible for making the resource Saji, Janita. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1ap8TuPzhD3molyh2A-XZigi-R-14crNd/view" target="_blank" title="A hand glove-based system and method for allowing physically-impaired persons to communicate by identifying speech/messages /" rel="noreferrer noopener">https://drive.google.com/file/d/1ap8TuPzhD3molyh2A-XZigi-R-14crNd/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/b051bacc5857b012425e22e2bb6b6a2d.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Personal automatic panic alert-papa / Subject The topic of the resource Bio-Medical Engineering Description An account of the resource Patent Number: 202241049073, Applicant: Meenakshi Malaviya. A panic attack is a mental impairment condition that causes the loss of many lives. The level of attack can be mild to extreme and can be scaled using biomarkers produced automatically by the body. Some of the biomarkers are heart rate variability, fluid changes like cortisol and adrenaline, breathing rate, air quality index, and core temperature. The data sources for the biomarkers can be clinical scales, environmental factors, sensors, wearable devices, and diagnostic surveys. Creator An entity primarily responsible for making the resource J, Chandra. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1g3TgJqUqBTGpkWMbd7PblQ863Vyp0zjO/view" target="_blank" title="Personal automatic panic alert-papa /" rel="noreferrer noopener">https://drive.google.com/file/d/1g3TgJqUqBTGpkWMbd7PblQ863Vyp0zjO/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/5d252d1104d2d58818937558d32ce896.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Three-dimensional eveluation model for assessing the effectiveness of knowledge management systems and portals / Subject The topic of the resource Communication Description An account of the resource Patent Number: 202241049097, Applicant: D Venkata Subramanian. This invention is related to the field of web and semantic technology. For effective assessment of any Knowledge Management System (KMS), it is important to consider three primary dimensions/factors; being usability, availability and relevance. The proposed invention is a three-dimensional model provides an easy-to-use and comprehensive effectiveness assessment for any KMS or knowledge portals. Creator An entity primarily responsible for making the resource J, Chandra. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/10OwH2NlAoO1eV_MAoKJiaigH-WxDZ8hN/view" target="_blank" title="Three-dimensional eveluation model for assessing the effectiveness of knowledge management systems and portals /" rel="noreferrer noopener">https://drive.google.com/file/d/10OwH2NlAoO1eV_MAoKJiaigH-WxDZ8hN/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/381f0d779e628ca38da68105f4502123.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Three-dimensional eveluation model for assessing the effectiveness of knowledge management systems and portals / Subject The topic of the resource Communication Description An account of the resource Patent Number: 202241049097, Applicant: D Venkata Subramanian. This invention is related to the field of web and semantic technology. For effective assessment of any Knowledge Management System (KMS), it is important to consider three primary dimensions/factors; being usability, availability and relevance. The proposed invention is a three-dimensional model provides an easy-to-use and comprehensive effectiveness assessment for any KMS or knowledge portals. Creator An entity primarily responsible for making the resource D, Venkata Subramanian. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/10OwH2NlAoO1eV_MAoKJiaigH-WxDZ8hN/view" target="_blank" title="Three-dimensional eveluation model for assessing the effectiveness of knowledge management systems and portals /" rel="noreferrer noopener">https://drive.google.com/file/d/10OwH2NlAoO1eV_MAoKJiaigH-WxDZ8hN/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/c03651daa8a49c681d403e0a507bebc4.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Attention based sentence classification using term frequency-inverse document frequency and n-gram / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 202241048840, Applicant: Nagendra N. Attention Based Sentence Classification Using Term Frequency-Inverse Document Frequency and N-Gram On an e-commerce platform, products sold have critical and varying reviews from buyers which are difficult to analyze considering the hugenumber of reviews. The proposed model aspect extraction helps in categorizing sentence accurately. Creator An entity primarily responsible for making the resource J, Chandra. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1Iz2PiEFIcSY8bIeIZNqR7LGIQnm95LUp/view" target="_blank" title="Attention based sentence classification using term frequency-inverse document frequency and n-gram /" rel="noreferrer noopener">https://drive.google.com/file/d/1Iz2PiEFIcSY8bIeIZNqR7LGIQnm95LUp/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/187f1cec55e9bd72dc57e9a3bbde0d1a.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Credit card fraud detection using python and machine learning / Subject The topic of the resource Communication Description An account of the resource Patent Number: 202221047470. Applicant: Pankaj Shambunath Mishra. Credit Card Fraud Detection Using Python and Machine Learning Abstract: As we are heading towards the digital world cyber security is becoming an essential element of our life. When we talk about security in digital life then the major challenge is to discover the anomalous activities. When we make any transaction while purchasing any product online a big proportion of consumers choose credit cards. The credit limit in credit cards often helps us to making purchases even if we don’t have the funds at that time. But, on the other hand, these features are utilised by cyber attackers. Creator An entity primarily responsible for making the resource Das, Tapas. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1ktlM-dCuZI_TossNyqkvXiwHbuD8vd7z/view" target="_blank" title="Credit card fraud detection using python and machine learning /" rel="noreferrer noopener">https://drive.google.com/file/d/1ktlM-dCuZI_TossNyqkvXiwHbuD8vd7z/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/140c96b0f4a6fc5046b491013beb6915.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Credit card fraud detection using python and machine learning / Subject The topic of the resource Communication Description An account of the resource Patent Number: 202221047470. Applicant: Pankaj Shambunath Mishra. Credit Card Fraud Detection Using Python and Machine Learning Abstract: As we are heading towards the digital world cyber security is becoming an essential element of our life. When we talk about security in digital life then the major challenge is to discover the anomalous activities. When we make any transaction while purchasing any product online a big proportion of consumers choose credit cards. The credit limit in credit cards often helps us to making purchases even if we don’t have the funds at that time. But, on the other hand, these features are utilised by cyber attackers. Creator An entity primarily responsible for making the resource Das, Sheshanwita. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1ktlM-dCuZI_TossNyqkvXiwHbuD8vd7z/view" target="_blank" title="Credit card fraud detection using python and machine learning /" rel="noreferrer noopener">https://drive.google.com/file/d/1ktlM-dCuZI_TossNyqkvXiwHbuD8vd7z/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-23 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/e37e337089a7fc43ee0e947fda38a354.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Credit card fraud detection using python and machine learning / Subject The topic of the resource Communication Description An account of the resource <a href="https://drive.google.com/file/d/1ktlM-dCuZI_TossNyqkvXiwHbuD8vd7z/view" target="_blank" title="Credit card fraud detection using python and machine learning /" rel="noreferrer noopener">https://drive.google.com/file/d/1ktlM-dCuZI_TossNyqkvXiwHbuD8vd7z/view</a> Creator An entity primarily responsible for making the resource Ganguly, Deeksha Gupta. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1ktlM-dCuZI_TossNyqkvXiwHbuD8vd7z/view" target="_blank" title="Credit card fraud detection using python and machine learning /" rel="noreferrer noopener">https://drive.google.com/file/d/1ktlM-dCuZI_TossNyqkvXiwHbuD8vd7z/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-23 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/dc2f03af04a8fa5838a6983615058609.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial intelligence and deep learning based driverless cars to reduce the road accident, death rate using python / Subject The topic of the resource Finance Description An account of the resource Patent Number: 202221047470, Applicant: Rashel Sarkar. 2% of global deaths each year are caused by automobile accidents. This corresponds to around 3,287 each day, or 1,300,000 per year. 20 million to 50 million people are seriously injured in automobile accidents annually. Why do these recurring problems persist People do make errors. One careless or foolish action is all it takes to transform a safe drive into one that could kill someone. This holds true regardless of whether the driver is preoccupied, intoxicated, or simply careless or irresponsible. In terms of technology, Artificial Intelligence (AI) has always been ahead of the curve. Creator An entity primarily responsible for making the resource Das, Tapas. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1yaF6Eppe84m-iTZmYWDne0-ofXUcF8y9/view" target="_blank" title="Artificial intelligence and deep learning based driverless cars to reduce the road accident, death rate using python /" rel="noreferrer noopener">https://drive.google.com/file/d/1yaF6Eppe84m-iTZmYWDne0-ofXUcF8y9/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-23 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/ed05ca6aa2b87675a9fa797d7c7679a1.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial intelligence and deep learning based driverless cars to reduce the road accident, death rate using python / Subject The topic of the resource Finance Description An account of the resource Patent Number: 202221047470, Applicant: Rashel Sarkar. 2% of global deaths each year are caused by automobile accidents. This corresponds to around 3,287 each day, or 1,300,000 per year. 20 million to 50 million people are seriously injured in automobile accidents annually. Why do these recurring problems persist People do make errors. One careless or foolish action is all it takes to transform a safe drive into one that could kill someone. This holds true regardless of whether the driver is preoccupied, intoxicated, or simply careless or irresponsible. In terms of technology, Artificial Intelligence (AI) has always been ahead of the curve. Creator An entity primarily responsible for making the resource Jha, Deepak. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1yaF6Eppe84m-iTZmYWDne0-ofXUcF8y9/view" target="_blank" title="Artificial intelligence and deep learning based driverless cars to reduce the road accident, death rate using python /" rel="noreferrer noopener">https://drive.google.com/file/d/1yaF6Eppe84m-iTZmYWDne0-ofXUcF8y9/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-23 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/877ccb16a4887e430f3ed5934e64aa66.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exact prediction and consumption of residential electricity power cost hours, daily, weekly, monthly using ant, ML and DL techniques / Subject The topic of the resource Communication Description An account of the resource Patent Number: 202241055650, Applicant: Dr. S Perumal. This research describes an unique method for predicting energy consumption based on deep neural networks that can accurately estimate the hourly energy consumption profile of a residential building one day in advance, taking occupancy into account. Providers of energy and utilities can determine the most efficient generation schedule if they have an accurate evaluation of the quantity of energy utilised by houses. A comprehensive review of a number of criteria was undertaken in order to initiate an investigation into the various energy estimation techniques that employ machine learning. Creator An entity primarily responsible for making the resource Das, Tapas. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1KPTEa0TJm_LjmgCTWBatLyR0YOMdN7Jk/view" target="_blank" title="Exact prediction and consumption of residential electricity power cost hours, daily, weekly, monthly using ant, ML and DL techniques /" rel="noreferrer noopener">https://drive.google.com/file/d/1KPTEa0TJm_LjmgCTWBatLyR0YOMdN7Jk/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-23 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/39db09d05ecd15cc47adf788807fd0b1.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Cloud based IOT smart and accurate traffic monitoring system in real time applications for developed countries to reduce traffic related issues / Subject The topic of the resource Communication Description An account of the resource <a href="https://drive.google.com/file/d/1b0XdXScGgfwnot00Pcvwp1ULMPVW6cJM/view" target="_blank" title="Cloud based IOT smart and accurate traffic monitoring system in real time applications for developed countries to reduce traffic related issues /" rel="noreferrer noopener">https://drive.google.com/file/d/1b0XdXScGgfwnot00Pcvwp1ULMPVW6cJM/view</a> Creator An entity primarily responsible for making the resource Intellectual Property India Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1b0XdXScGgfwnot00Pcvwp1ULMPVW6cJM/view" target="_blank" title="Cloud based IOT smart and accurate traffic monitoring system in real time applications for developed countries to reduce traffic related issues /" rel="noreferrer noopener">https://drive.google.com/file/d/1b0XdXScGgfwnot00Pcvwp1ULMPVW6cJM/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-23 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/7194aa111ec18988e4d9a12a2d179f1e.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using machine learning in an industrial control network to improve cybersecurity operations / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 202241052879, Applicant: Abhijit Das. A machine-learning service, which receives data related to a plurality of features related to internet traffic metrics, processes said data by performing operations selected from among an operation of ranking at least one feature, an operation of classifying at least one feature, an operation of predicting at least one feature, and an operation of clustering at least one feature, and as a result, the method monitors online security threats. Creator An entity primarily responsible for making the resource K, Natarajan. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1yZ3yuESXaXfqPyQ6E8PXSB8DBPka5zQ9/view" target="_blank" title="Using machine learning in an industrial control network to improve cybersecurity operations /" rel="noreferrer noopener">https://drive.google.com/file/d/1yZ3yuESXaXfqPyQ6E8PXSB8DBPka5zQ9/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-23 Language A language of the resource English Type The nature or genre of the resource Patent