This study delved into the role of Enterprise Resource Planning Software (ERP) in facilitating circular economy within the United States. It identifies key stakeholders and driving forces necessary to extend producer responsibility, aligning with national circular economy strategies. An evaluation system is established to correlate producers' eco-design strategies with downstream recycling performance, drawing data from sustainable development reports and recycling platforms.
In the present intensely competitive business landscape, small businesses are actively seeking innovative strategies to sustain their relevance, profitability, and competitive edge. Recognizing the pivotal role of digital transformation, particularly through the adoption of Customer Relationship Management (CRM) systems, businesses are embracing this as a crucial tactic to navigate the rapidly evolving market dynamics.
Artificial Intelligence (AI) integration into healthcare has revolutionized patient care, operational efficiency, and medical research. Amazon Web Services (AWS), a leader in cloud computing, has been pivotal in advancing AI technologies to address critical healthcare challenges. This paper explores the innovations, applications, benefits, and future potential of AWS AI in transforming healthcare delivery.
The semiconductor industry has experienced one of the most progressive growths in recent years especially in innovations in low-power design techniques. The UVM stands for Universal Verification Methodology and has become very useful in the verification of SoC designs to ensure their functionalities are as required in the performance of semiconductor designs.
This paper has gone further and identified how BI systems have changed to fit the current business environment and how, especially by integrating BI with AI, has undergone a significant transformation. Thus, specifying how Smart BI systems enhance decision-making processes, productivity, and competitiveness in the modern context, this article addresses AI within contemporary business conditions.
Mechanical engineering has gradually relied on high computational methods in the field for improved performance of structures which play significant roles in the enhancement and development of engineering systems. Linear Analysis has evolved to be a Finite Element Analysis (FEA) in that it assists engineers in simulating the behavior of structures under different loads and conditions. Several applications of FETs are discussed with the aim of understanding how FE can be used in improving structural performance in structural elements in practical applications involving aerospace and automotive structures, more especially in the evaluation of the performance of an airplane wing.
School construction is a multi-disciplinary process that involves the combination of architectures, educationists, project managers and environmentalists. These projects depend then on various aspects that are often conflicting; cost, beauty, use, and environmental impact. In this paper, the author explores the complexity of the issues surrounding the construction of the school while focusing on two important issues: stakeholders’ involvement and designs. While the paper is concerned with reviewing this literature, it distinguishes how the noted elements support learning environments that improve educational outcomes.
This research presents a pioneering approach to integrating artificial intelligence (AI) in construction planning, offering innovative solutions for smarter decision-making and cost optimization. By developing advanced machine learning models and predictive analytics tailored specifically for complex construction projects, this work addresses key challenges like cost overruns, resource mismanagement, and inefficient scheduling. These contributions have already led to significant industry-wide adoption and global recognition, marking a paradigm shift in how modern construction projects are managed.
Within the present-day DevOps ecosystem automation and orchestration tools are urgent for improving efficiency, guaranteeing adaptability, and streamlining cloud operations. This paper presents an in-depth audit of AWS Step functions, Ansible, and AWS Lambda, analyzing their parts in automation and cloud orchestration, and analyzing how their integration cultivates productive DevOps workflows. AWS Step functions empower coordination over different AWS services, making smooth workflows. Ansible, an effective configuration management tool, automates provisioning and configuration management, improving operational consistency.
This study investigates the integration of machine learning models with Salesforce to enhance predictive analytics for optimizing sales strategies. The research problem centers on evaluating how different machine learning algorithms, such as Decision Trees, Random Forests, and Neural Networks, perform within the Salesforce CRM system, and the impact of these models on predictive accuracy and real-time decision-making. Employing a design that includes data collection from Salesforce, model training and evaluation, and integration into Salesforce dashboards, the study provides insights into the effectiveness of these models.
Artificial Intelligence (AI) and Machine Learning (ML) are the next wave technologies which changed industries around the world. The following paper examines how they have had a massive impact on the labor market, employment demands and health sector. From a look at trends and an eye on the future, the paper will try to give you a full picture of the opportunities and challenges of AI and ML. As we all witnessed over the last few years Artificial Intelligence and Machine Learning has been applied to many industries which is having profound effect on the market, the skill set and the health sector.
Artificial Intelligence (AI) has now become a game-changing tool in the struggle with challenges related to climate change, offering very precise data-driven solutions and forecasts. The paper analyzes the use of AI models for predictions related to rising sea levels, changes in weather patterns, and ecosystem degradation. AI can analyze huge volumes of data and enable the creation of predictive power about a variety of future scenarios with precision for proactive mitigation and adaptation strategies. The studies investigates the optimization of renewable energy systems and wind power artificial intelligence through enhanced efficiency, reduced wastages, and increased grid stability.
Nanotechnology has revolutionized electronic components by enabling advanced materials and innovative techniques that significantly improve performance, scalability, and efficiency. This study explores the role of nanotechnology in advancing semiconductors, flexible electronics, energy storage devices, and memory systems. It highlights the breakthroughs in fabrication methods, energy-efficient designs, and high-speed communication systems. Additionally, the study discusses the challenges in implementation, such as fabrication complexities and integration issues, and proposes solutions to overcome them.
The increasing complexity of firmware in embedded systems demands advanced testing techniques to ensure reliability, efficiency, and security. This paper examines the evolution of firmware testing, tracing its progression from manual and static methods to sophisticated automated frameworks tailored to the challenges of modern embedded systems. Key advancements include the integration of Real-Time Operating Systems (RTOS) like FreeRTOS and Zephyr, necessitating specialized validation of real-time responsiveness, concurrency, and task scheduling. Continuous Integration and Deployment (CI/CD) practices have also transformed firmware testing, enabling seamless and frequent Over-The-Air (OTA) updates while maintaining system stability and security
Smart materials and actuators are transforming mechanical systems by offering dynamic capabilities that respond to environmental stimuli, making them essential for advanced applications in robotics and aerospace. These materials adapt their properties, such as shape, stiffness, or conductivity, in response to factors like temperature, electrical fields, or pressure. By integrating smart materials into actuators, systems can achieve high precision, flexibility, and responsiveness. This paper explores the theoretical foundations, properties, and various applications of smart materials and actuators, particularly in the fields of robotics and aerospace. The discussion extends to the challenges faced by these materials, such as material fatigue, energy consumption, and integration complexity.
Leadership pipelines are the core of long-term organizational performance, but not many organizations are able to recruit, assess, and cultivate effective organizational leaders who will thrive in the business environment of today. This paper explores proven methodologies for transforming leadership pipelines through comprehensive assessment and targeted development initiatives. Leveraging tools such as Assessment and Development Centers (ADCs), psychometric evaluations, and competency-based frameworks, organizations can create data-driven strategies to identify leadership potential, address development areas, and cultivate future-ready leaders.
Modern data ecosystems, encompassing distributed analytics platforms and big data pipelines, have propelled the need for efficient, scalable file formats that handle vast volumes of structured and semi-structured data. Among the most prominent are Avro, Parquet, and ORC each offering unique strengths in schema evolution, columnar storage, compression, and read performance. This paper provides a comprehensive analysis of these formats outlining their architectural underpinnings, typical usage scenarios, integration with frameworks (e.g., Apache Spark, Hive), and the performance trade-offs that emerge under large-scale workloads.
Role of Enterprise Resource Planning Software (ERP) In Driving Circular Economy Practices in the United States Amit Mangal
Download
This study delved into the role of Enterprise Resource Planning Software (ERP) in facilitating circular economy within the United States. It identifies key stakeholders and driving forces necessary to extend producer responsibility, aligning with national circular economy strategies. An evaluation system is established to correlate producers' eco-design strategies with downstream recycling performance, drawing data from sustainable development reports and recycling platforms.
Digital Transformation Strategy with CRM and AI for SMB’s Sustainable GrowthSuman Deep, Pankaj Zanke
Download
In the present intensely competitive business landscape, small businesses are actively seeking innovative strategies to sustain their relevance, profitability, and competitive edge. Recognizing the pivotal role of digital transformation, particularly through the adoption of Customer Relationship Management (CRM) systems, businesses are embracing this as a crucial tactic to navigate the rapidly evolving market dynamics.
AI Revolution in Healthcare: AWS Innovations and Future DirectionsPraveen Borra, Harshavardhan Nerella
Download
Artificial Intelligence (AI) integration into healthcare has revolutionized patient care, operational efficiency, and medical research. Amazon Web Services (AWS), a leader in cloud computing, has been pivotal in advancing AI technologies to address critical healthcare challenges. This paper explores the innovations, applications, benefits, and future potential of AWS AI in transforming healthcare delivery.
Verification of Low-Power Semiconductor Designs Using UVMMuthukumaran Vaithianathan, Mahesh Patil, Shunyee Frank Ng, Shiv Udkar
Download
The semiconductor industry has experienced one of the most progressive growths in recent years especially in innovations in low-power design techniques. The UVM stands for Universal Verification Methodology and has become very useful in the verification of SoC designs to ensure their functionalities are as required in the performance of semiconductor designs.
Smart BI Systems: The Role of AI in Modern BusinessSuman Chintala
Download
This paper has gone further and identified how BI systems have changed to fit the current business environment and how, especially by integrating BI with AI, has undergone a significant transformation. Thus, specifying how Smart BI systems enhance decision-making processes, productivity, and competitiveness in the modern context, this article addresses AI within contemporary business conditions.
Optimizing Structural Performance with Advanced Finite Element TechniquesSamuel Ambosta
Download
Mechanical engineering has gradually relied on high computational methods in the field for improved performance of structures which play significant roles in the enhancement and development of engineering systems. Linear Analysis has evolved to be a Finite Element Analysis (FEA) in that it assists engineers in simulating the behavior of structures under different loads and conditions. Several applications of FETs are discussed with the aim of understanding how FE can be used in improving structural performance in structural elements in practical applications involving aerospace and automotive structures, more especially in the evaluation of the performance of an airplane wing.
Educational Edifices: Navigating the Complexities of School ConstructionAdnan Taqui
Download
School construction is a multi-disciplinary process that involves the combination of architectures, educationists, project managers and environmentalists. These projects depend then on various aspects that are often conflicting; cost, beauty, use, and environmental impact. In this paper, the author explores the complexity of the issues surrounding the construction of the school while focusing on two important issues: stakeholders’ involvement and designs. While the paper is concerned with reviewing this literature, it distinguishes how the noted elements support learning environments that improve educational outcomes.
The Future of Construction Planning: Integrating AI for Smarter Decision-Making and Cost OptimizationJagan Mohanraj
Download
This research presents a pioneering approach to integrating artificial intelligence (AI) in construction planning, offering innovative solutions for smarter decision-making and cost optimization. By developing advanced machine learning models and predictive analytics tailored specifically for complex construction projects, this work addresses key challenges like cost overruns, resource mismanagement, and inefficient scheduling. These contributions have already led to significant industry-wide adoption and global recognition, marking a paradigm shift in how modern construction projects are managed.
Exploration of the AWS Step Functions, Ansible, and AWS Lambda: Integrating Cloud Automation and Orchestration for
Enhanced DevOps EfficiencyHarika Sanugommula
Download
Within the present-day DevOps ecosystem automation and orchestration tools are urgent for improving efficiency, guaranteeing adaptability, and streamlining cloud operations. This paper presents an in-depth audit of AWS Step functions, Ansible, and AWS Lambda, analyzing their parts in automation and cloud orchestration, and analyzing how their integration cultivates productive DevOps workflows. AWS Step functions empower coordination over different AWS services, making smooth workflows. Ansible, an effective configuration management tool, automates provisioning and configuration management, improving operational consistency.
Integrating Machine Learning with Salesforce for Enhanced Predictive AnalyticsNagaraj Mandaloju, Vinod kumar Karne,
Noone Srinivas, Siddhartha Varma Nadimpalli
Download
This study investigates the integration of machine learning models with Salesforce to enhance predictive analytics for optimizing sales strategies. The research problem centers on evaluating how different machine learning algorithms, such as Decision Trees, Random Forests, and Neural Networks, perform within the Salesforce CRM system, and the impact of these models on predictive accuracy and real-time decision-making. Employing a design that includes data collection from Salesforce, model training and evaluation, and integration into Salesforce dashboards, the study provides insights into the effectiveness of these models.
Impact of AI/ML on Job Market and Skills Set and Health IndustryAnkit Srivastava
Download
Artificial Intelligence (AI) and Machine Learning (ML) are the next wave technologies which changed industries around the world. The following paper examines how they have had a massive impact on the labor market, employment demands and health sector. From a look at trends and an eye on the future, the paper will try to give you a full picture of the opportunities and challenges of AI and ML. As we all witnessed over the last few years Artificial Intelligence and Machine Learning has been applied to many industries which is having profound effect on the market, the skill set and the health sector.
AI For Climate Change: Predicting Environmental Impact and Developing Sustainable SolutionsManoj Kumar
Download
Artificial Intelligence (AI) has now become a game-changing tool in the struggle with challenges related to climate change, offering very precise data-driven solutions and forecasts. The paper analyzes the use of AI models for predictions related to rising sea levels, changes in weather patterns, and ecosystem degradation. AI can analyze huge volumes of data and enable the creation of predictive power about a variety of future scenarios with precision for proactive mitigation and adaptation strategies. The studies investigates the optimization of renewable energy systems and wind power artificial intelligence through enhanced efficiency, reduced wastages, and increased grid stability.
A Study of Nanotechnology in Advancing Electronic ComponentsRonak Italia
Download
Nanotechnology has revolutionized electronic components by enabling advanced materials and innovative techniques that significantly improve performance, scalability, and efficiency. This study explores the role of nanotechnology in advancing semiconductors, flexible electronics, energy storage devices, and memory systems. It highlights the breakthroughs in fabrication methods, energy-efficient designs, and high-speed communication systems. Additionally, the study discusses the challenges in implementation, such as fabrication complexities and integration issues, and proposes solutions to overcome them.
Advancements in Firmware Testing and Validation TechniquesSoujanya Reddy Annapareddy
Download
The increasing complexity of firmware in embedded systems demands advanced testing techniques to ensure reliability, efficiency, and security. This paper examines the evolution of firmware testing, tracing its progression from manual and static methods to sophisticated automated frameworks tailored to the challenges of modern embedded systems. Key advancements include the integration of Real-Time Operating Systems (RTOS) like FreeRTOS and Zephyr, necessitating specialized validation of real-time responsiveness, concurrency, and task scheduling. Continuous Integration and Deployment (CI/CD) practices have also transformed firmware testing, enabling seamless and frequent Over-The-Air (OTA) updates while maintaining system stability and security
Smart Materials And Actuators In Mechanical Systems: Applications In Robotics And AerospaceShashank Pasupuleti
Download
Smart materials and actuators are transforming mechanical systems by offering dynamic capabilities that respond to environmental stimuli, making them essential for advanced applications in robotics and aerospace. These materials adapt their properties, such as shape, stiffness, or conductivity, in response to factors like temperature, electrical fields, or pressure. By integrating smart materials into actuators, systems can achieve high precision, flexibility, and responsiveness. This paper explores the theoretical foundations, properties, and various applications of smart materials and actuators, particularly in the fields of robotics and aerospace. The discussion extends to the challenges faced by these materials, such as material fatigue, energy consumption, and integration complexity.
Preparing Healthcare Leaders for the Future: Enhancing Leadership Pipelines for Lasting Impact with Targeted Assessment
and DevelopmentPriyanka Taranekar
Download
Leadership pipelines are the core of long-term organizational performance, but not many organizations are able to recruit, assess, and cultivate effective organizational leaders who will thrive in the business environment of today. This paper explores proven methodologies for transforming leadership pipelines through comprehensive assessment and targeted development initiatives. Leveraging tools such as Assessment and Development Centers (ADCs), psychometric evaluations, and competency-based frameworks, organizations can create data-driven strategies to identify leadership potential, address development areas, and cultivate future-ready leaders.
High-Performance Data Storage: A Comparative Analysis of AVRO, Parquet, and ORC Formats in Modern Data Systems
Pradeep Bhosale
Download
Modern data ecosystems, encompassing distributed analytics platforms and big data pipelines, have propelled the need for efficient, scalable file formats that handle vast volumes of structured and semi-structured data. Among the most prominent are Avro, Parquet, and ORC each offering unique strengths in schema evolution, columnar storage, compression, and read performance. This paper provides a comprehensive analysis of these formats outlining their architectural underpinnings, typical usage scenarios, integration with frameworks (e.g., Apache Spark, Hive), and the performance trade-offs that emerge under large-scale workloads.