Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the Internet of Things (IoT) enabled wearable healthcare devices.Due to the miniature size Parts and ability of wireless data transfer, Body Sensor Networks (BSNs) have become the center of attention in current medical media technologies.For a long-term
Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping
Managing and controlling costly natural hazards such as floods has been a fundamental and essential issue for decision-makers and planners from the past to the present.Artificial intelligence (AI) has recently proven promising to improve disaster management.There is growing interest in using AI to predict and identify flood-prone areas.However, cre
Antenna Beamwidth Optimization in Directional Device-to-Device Communication Using Multi-Agent Deep Reinforcement Learning
Exploiting the millimeter wave (mmWave) band is an attractive solution to accommodate the bandwidth-intensive applications in device-to-device (D2D) communications.The directional nature of communications at mmWave frequencies and mobility of devices require beam alignment at both transmitter and receiver ends.The beam alignment signaling overhead
Climate risk and corporate cash holdings: Mechanism and path analysis
Based on climate change data of local cities and cash holding data of Chinese listed companies from 2011 to 2019, this article studies the impact of climate change on the level of corporate cash holdings and analyzes the path of climate change on the corporate cash holding level.The results show that under the influence of climate change, enterpris