The primary objective of this study is to examine the utilization of neural networks in workforce planning and management, with an emphasis on their capacity to enhance labor allocation, anticipate personnel requireme...
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ISBN:
(数字)9798331543624
ISBN:
(纸本)9798331543631
The primary objective of this study is to examine the utilization of neural networks in workforce planning and management, with an emphasis on their capacity to enhance labor allocation, anticipate personnel requirements, and enhance overall organizational efficiency. Neural networks, a type of artificial intelligence, are extremely appropriate for managing the complexities of human management because of their robust capabilities in data processing and pattern detection. By examining historical data and current trends, these algorithms can identify areas where skills are lacking, forecast the need for workers, and suggest the optimal employment levels. By incorporating neural networks into workforce planning, we can achieve a workforce that is more adaptable and efficient, as well as improve employee satisfaction, reduce costs, and improve the precision of our decision-making.
In the realm of modern energy management systems, Non-Intrusive Load Monitoring (NILM) technology provides an innovative solution for power suppliers. It allows for remote monitoring and analysis of users’ electricit...
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The scale of software applications has increased dramatically. Hierarchical clustering is a good method for modular recovery of software architecture. Because the different evaluation criteria of software types and cl...
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The development of blockchain technology (BT) in recent years has made it a distinctive, revolutionary, and popular innovation. Information security and confidentiality are prioritised by the decentralised database in...
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This paper designs a new community governance platform based on spatio-temporal data mining. On the one hand, this method uses statistical principles to predict the time series of social organizations itself, and on t...
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intelligent motion control is integral to modern cyber-physical systems. However, smart integration of intelligent motion control with commercial and industrial systems requires domain expertise, industrial 'know-...
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intelligent HR systems have become a transformative force for global organizations, driven by AI, machine learning, and dataanalytics to embrace Industry 4.0 opportunities. This paper explores their implications, hig...
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ISBN:
(数字)9798350385205
ISBN:
(纸本)9798350385212
intelligent HR systems have become a transformative force for global organizations, driven by AI, machine learning, and dataanalytics to embrace Industry 4.0 opportunities. This paper explores their implications, highlighting their potential to drive efficiency, enhance employee experience, and foster a smart future. It emphasizes the necessity for businesses to adopt these systems to maintain competitiveness in a constantly changing world economy. The paper discusses various applications of intelligent HR systems in international organizations, including recruitment, predictive talent management, AI-driven training, and chatbots in HR services. Challenges in implementing these systems are addressed, such as ethical considerations in algorithm-based decision-making, data privacy, and reskilling HR professionals. Striking a balance between efficiency gains and human-centric values is emphasized. The research methodology employed for this study primarily involved a comprehensive literature review approach. By thoroughly examining academic journals, industry reports, and relevant publications, the study synthesized existing knowledge and insights on intelligent HR systems. The study encourages multinational corporations to leverage intelligent HR systems to optimize practices, empower employees, and achieve business objectives through AI and data-driven decision-making, while emphasizing the importance of ethical considerations, data protection, and ongoing training for HR professionals.
With outdated technology, the majority of sports analytics systems just can't meet the needs of real-time analyzing data. Worse still, these systems tend to have data latency due to manual input and rudimentary st...
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ISBN:
(数字)9798331543624
ISBN:
(纸本)9798331543631
With outdated technology, the majority of sports analytics systems just can't meet the needs of real-time analyzing data. Worse still, these systems tend to have data latency due to manual input and rudimentary statistical models means that performance evaluations are inaccurate and delayed. The suggestion is an AI-based sports analytics system utilizing cutting-edge machine learning (ML) models and natural language processing (NLP) techniques. It combines deep learning architectures such as CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural Networks to examine a variety of datasets provides accurate insights and performance ratings in real time. The plan on the table demonstrates significant advantages over traditional approaches, with 10,000 records processed per hour an 85% forecast accuracy and 80% reduction in analysis time. The technology combines structured and unstructured data sources to enable coaches and analysts make better judgments. These provides tailor-made insights that give sports organizations an edge up and help ensure future-proof analytics capabilities.
In fast expanding cities, urban traffic congestion creates major problems for general transportation efficiency and emergency response times. Using real-time sensor data and cloud analytics, this study offers an Inter...
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ISBN:
(数字)9798331535193
ISBN:
(纸本)9798331535209
In fast expanding cities, urban traffic congestion creates major problems for general transportation efficiency and emergency response times. Using real-time sensor data and cloud analytics, this study offers an Internet of Things (IoT)-enabled smart Traffic Signaling System that dynamically prioritizes emergency vehicles and improves traffic flow. The system uses NodeMCU ESP8266 for wireless data transfer to the ThingSpeak cloud platform, Arduino Nano microcontroller for local signal control, Radio Frequency Identification (RFID) readers for emergency vehicle identification, and Infrared (IR) sensors for vehicle detection. The device also tracks pedestrian pathway infractions and records them to the cloud for enforcement. Prototype testing revealed great performance with 95% vehicle identification accuracy, 98% emergency vehicle prioritization efficiency, and 97% cloud-based integration reliability. This study offers a useful and efficient tool for smart traffic control in smart metropolitan areas by tackling important concerns such environmental robustness, sensor fusion, real-time flexibility, and scalability.
The proceedings contain 78 papers. The topics discussed include: reproducible notebook containers using application virtualization;identifying structural properties of proteins from x-ray free electron laser diffracti...
ISBN:
(纸本)9781665461245
The proceedings contain 78 papers. The topics discussed include: reproducible notebook containers using application virtualization;identifying structural properties of proteins from x-ray free electron laser diffraction patterns;scalable composition and analysis techniques for massive scientific workflows;using microservices to design patient-facing research software;the e-science central study data platform;infection transmission ontology: standardization of infection transmission data;remote instrumentation science environment for intelligent image analytics;efficient cloud-based calibration of input data for forest fire spread prediction;towards optimal line of sight coverage;and UAV swarms in smart agriculture: experiences and opportunities.
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