The maritime fleet industry is undergoing a paradigm shift due to rapid advancements in digital technologies, automation, and artificial intelligence (AI). This paper presents an in-depth research into the interplay of AI-driven maritime logistics, focusing on port management, advanced operations automation, and customer relationship management (CRM) integration for optimized performance and efficiency.
In the era of digital transformation, customer relationship management (CRM) has become a key component of business success. Traditional CRM systems, however, often fail to provide the level of personalization and responsiveness required to meet customers' ever-evolving expectations.
Web-based media have gotten more consideration. Twitter is one of the web-based media that is acquiring fame. Twitter offers associations a quick and viable approach to dissect clients' points of view toward the basic to accomplishment in the commercial center.
In this examination, a Bridge wellbeing checking framework utilizing IoT is created utilizing remote innovation. The assistance of progression in sensor innovation has brought the computerized continuous extension wellbeing checking framework.
Disaster Management application can be utilized as a client manual for think about catastrophic events, a calamity the executive's life cycle, first aid pack. Debacle causes different levels of impact and can make casualties needing critical assistance for food, wellbeing, or help.
Geometric mean filter is commonly used in image processing application to remove Gaussian noise. In filter stage requires more number addition and multiplication process. Pruning is an approximation technique used to achieve a low power processing.
In this paper, the fundamental work is to control traffic density in significant urban communities which has been a mainstream research subject among researchers and modern experts.
Interplay of AI-Driven Maritime Logistics: An In-Depth Research into Port Management, Advanced Operations
Automation, and CRM Integration for Optimized Performance and EfficiencySharda Kumari
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The maritime fleet industry is undergoing a paradigm shift due to rapid advancements in digital technologies, automation, and artificial intelligence (AI). This paper presents an in-depth research into the interplay of AI-driven maritime logistics, focusing on port management, advanced operations automation, and customer relationship management (CRM) integration for optimized performance and efficiency.
Context-Aware AI-Driven CRM: Enhancing Customer Journeys Through Real-Time Personalization and
Predictive AnalyticsSharda Kumari
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In the era of digital transformation, customer relationship management (CRM) has become a key component of business success. Traditional CRM systems, however, often fail to provide the level of personalization and responsiveness required to meet customers' ever-evolving expectations.
Twitter Sentimental AnalysisJohn K.Victor, Ilo stanely Uzochukwu, Dr.N.Egu
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Web-based media have gotten more consideration. Twitter is one of the web-based media that is acquiring fame. Twitter offers associations a quick and viable approach to dissect clients' points of view toward the basic to accomplishment in the commercial center.
Bridge Safety Monitoring System Using IOTMohammed Mehdi Rashidi, Mohammed Yousuf, Dr. Mubarak Jawahar Ali Khan
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In this examination, a Bridge wellbeing checking framework utilizing IoT is created utilizing remote innovation. The assistance of progression in sensor innovation has brought the computerized continuous extension wellbeing checking framework.
Raising Hand Disaster Management Mobile ApplicationNirmal Kumar, Dr.Ram Sarvesh, Dr.S.Hari Shanker
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Disaster Management application can be utilized as a client manual for think about catastrophic events, a calamity the executive's life cycle, first aid pack. Debacle causes different levels of impact and can make casualties needing critical assistance for food, wellbeing, or help.
Low Power Design of Geometric Mean Filter Using GWO PruningDr. B. Sakthivel
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Geometric mean filter is commonly used in image processing application to remove Gaussian noise. In filter stage requires more number addition and multiplication process. Pruning is an approximation technique used to achieve a low power processing.
Traffic Density Estimation Based On Video ProcessingEva Maria, Sidhin Thomas, Dr.Arun Kumar
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In this paper, the fundamental work is to control traffic density in significant urban communities which has been a mainstream research subject among researchers and modern experts.