..., this research explores how artificial intelligence (AI)-driven optimization methods can enhance coaching productivity, scalability and cost-efficiency. By integrating AI into digital weight loss coaching to optimize personalized meal planning and feedback on food logs, we demonstrate how user engagement...

... In this study, a novel ensemble AI approach based on optimization and classification is proposed. The proposed ensemble structure consists of three stages: feature selection, classification and combining. In the first stage, important features for each classification method are identified using the binary...

... of this research article is to ensure the fault-tolerance (FT) capability, especially for transmission of sensed data to its destination without failure. Thus, through this paper, a fuzzy-based subordinate support (FSS) system is introduced as an additional feature to the existing optimized mobile sink improved...

... and perform classification via DBN, which is optimized by a new hybrid algorithm called as LMUDA. The LMUDA is a novel hybrid algorithm that combines the features of both LA and DA to tune the DBN weights so that the DBN can detect the ethnicity of the face more precisely. The leftover sections...

... sensing in CR. Design/methodology/approach This paper proposes a hybrid prediction model, called krill-herd whale optimization-based actor critic neural network and hidden Markov model (KHWO-ACNN-HMM). The spectral bands are determined optimally using the proposed hybrid prediction model...

... Optimization Supply chain (SC) is a common process of any kind of inventory management system. The basic objective in SC requires a meaningful coordination among the suppliers and retailers in complex systems. To overcome such complexities, authors like Cárdenas-Barrón (2007) studied SC inventory...

...Jehad Ababneh Purpose – The purpose of this paper is to propose an algorithm that combines the particle swarm optimization (PSO) with the biogeography-based optimization (BBO) algorithm. Design/methodology/approach – The BBO and the PSO algorithms are jointly used in to order to combine...

... one may want to rewire the network to optimize the communication among the various nodes while not overloading the number of channels (i.e. preserving the number of edges). The purpose of this paper is to present a formal framework for this problem and to examine a family of local search strategies...

...Salima Nebti; Souham Meshoul Purpose The purpose of this paper is to describe a work that aims to solve contour detection problem using a planar deformable model and a swarm‐based optimization technique. Contour detection is an important task in image processing as it allows depicting boundaries...