This research explores the integration of Artificial Intelligence (AI) and Internet Things (IoT) in supply chain management, emphasizing their role enabling intelligent autonomous business operations. It examines how these technologies enhance efficiency, decision-making, adaptability modern chains. A systematic review existing literature, case studies, industry reports is conducted to analyze impact AI IoT processes. The highlights that AI-driven predictive analytics IoT-enabled real-time...

Green finance has emerged as a transformative force in the global financial landscape, aligning investment strategies with environmental sustainability and climate resilience. This paper explores evolution, key drivers, future prospects of green 21st century. The increasing urgency change mitigation, coupled growing regulatory frameworks such Paris Agreement European Deal, propelled sustainable to forefront decision-making. Financial instruments, including bonds, sustainability-linked loans,...

Forest fire forecasting is a critical aspect of environmental conservation and ecological risk management, particularly in ‎biodiversity-sensitive areas like Uttara Kannada, India. In this research, article suggests new hybrid modeling ap-‎proach that combines Cuckoo Search Optimization (CSO) with ensemble machine learning techniques, namely Random ‎Forest (RF) XGBoost (XGB), for intensity levels. Known as CSORF CS-XGB, the models ‎were trained validated against spatio-temporally dense...

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTThe carbon dioxide-deuterium bromide (CO2DBr) precursor geometry limited reaction of deuterium with dioxideS. Buelow, G. Radhakrishnan, and C. WittigCite this: J. Phys. Chem. 1987, 91, 21, 5409–5412Publication Date (Print):October 1, 1987Publication History Published online1 May 2002Published inissue 1 October 1987https://doi.org/10.1021/j100305a006Request reuse permissionsArticle Views29Altmetric-Citations36LEARN ABOUT THESE METRICSArticle Views...

Autonomous mobile robots are increasingly used in many application areas. In most applications, they have to explore and gather knowledge about the environment deployed in. These transfer real time data continuously. This paper discusses a set of experiments that been carried out simulate various robotic environments. A robot attached with four sensors is collect information as moves multiple straight line paths. Time series collected from these clustered using mining techniques....

Autonomous mobile robots equipped with an array of sensors are being increasingly deployed in disaster environments to assist rescue teams. The attached the send multimodal time series data about which can be analyzed extract useful information environment deployed. A set mining tasks that effectively cluster various robotic have been investigated. effectiveness these techniques demonstrated using available dataset. accuracy proposed technique has measured a manual reference set.

As time series data are common in the field of science and commerce, analysis has an important role these areas for extracting information from available data. This paper presents application Artificial Neural Networks (ANN) analyzing huge amount collected by sensors mounted on a robot navigating simulated environment. The Network system employing back propagation learning algorithm classified different scenarios encountered using sensors.

Analysis of time series data collected from mobile robots is getting more attention in many application areas. When multiple move through an environment to perform certain actions, understanding the viewed by each robot essential. This paper presents analysis robotic using machine learning techniques when consist views environment. Robotic environments have been classified captured onboard sensors a set algorithms and their performances compared The model validated test where some objects...

Mobile robots have been widely used in agricultural, industrial and military applications areas where human intervention is not possible. These are equipped with sensors image capturing devices to collect time series data from the environment. The thus collected analyzed obtain vital information about This paper presents an experimental study using low resolution captured a set of complex robotic scenarios. Features such as color texture extracted images. scenarios then clustered based...

Mobile robots are being used in various applications like space shuttles, intelligent home security, military or other service oriented where human intervention is limited. A robot has to understand its environment by analyzing the data take appropriate actions given environment. Mostly collected from sensors on huge and continuous, making it impossible store entire main memory hence allowing only single scan of data. Traditional clustering algorithms k-means cannot be such as they require...