The residential area represents a sector that consumes more electricity especially with the rapid urban growth and transition towards automation electrification of several daily activities human beings, namely: mobility residents’ indoor comfort. As result, meeting this increased demand requires proportional rise in fuel use to generate energy. This type conventional power production has significant impacts on environment. eco-friendly alternative is renewable energies its distributed form...

An electric vehicle, as the name suggests, runs purely on electricity provided by battery packs located under its floor. This fuels engine and converts power to mechanical motion. Accordingly, vehicles do not emit pollutants no combustion process takes place within, making it an eco-friendly alternative vehicles. However, face one major issue that is their limited range. Recharging vehicles’ batteries requires important amount of time. Since time factor, recent works started focusing more...

The objective of energy transition is to convert the worldwide sector from using fossil fuels sources that do not emit carbon by end current century. In order achieve sustainability in construction energy-positive buildings, it crucial employ novel approaches reduce reliance on fuels. Hence, essential develop buildings with very efficient structures promote sustainable practices and minimize environmental impact. Our aims were shed some light standards, building modeling strategies, recent...

The quest for an efficient nature-inspired optimization technique has continued over the last few decades. In this paper, a hybrid been proposed. algorithm constructed using Mean Grey Wolf Optimizer (MGWO) and Whale Algorithm (WOA). We have utilized spiral equation of two procedures in Hybrid Approach GWO (HAGWO) algorithm: (i) firstly, we used balance between exploitation exploration process new approach; (ii) secondly, also applied whole population order to refrain from premature...

Customer segmentation is seen as one of the pillars a successful advertising campaign. Marketers give great importance to this flagship phase in process marketing new products. Successful will involve "Customer Targeting" and therefore profitable customer Many works have dealt with using unsupervised Machine Learning algorithms such K-Means by applying famous Recency, Frequency Monetary model. That model suffers from insufficiency ignoring other important parameters according field...

New technology, through the IoT, Big Data and AI ecosystem, is foundation on which tomorrow's solutions are created. Improved processes with better decision making actors that drive evolution of services. This new technology has enabled innovations in several sectors including medical, manufacturing, automation, energy, education, others. It should be noted recent years, Industry 4.0 COVID-19 sanitary crisis have forced some remarkable transformations contributions to people's quality life,...

The aim of this study is to evaluate the environmental impact solar energy by analyzing its emissions, resource consumption, and waste generation throughout life cycle. As one most widely adopted sources, power offers substantial benefits in reducing greenhouse gas emissions; however, broader footprint requires careful examination. production, operation, disposal panels contribute pollution, water hazardous accumulation, with an estimated 250,000 tons reported 2016 alone. Furthermore,...

LoRa (Long Range) is a wireless communication technology, which has established itself in recent years as one of the most widely used LPWAN (Low-Power Wide-Area Network) technologies various IoT (Internet things) applications. It based on Chirp spread spectrum modulation (CSS) number bits per symbol depends spreading factor used, that varies from 7 to 12. In this paper, we have considered RSSI (Received Signal Strength Indicator) parameter indoor environment. For LoRa, use transceiver two...

Although the EVRP (Electric Vehicle routing problem) has promising results on environmental scale, its implementation proved challenging. The difficulty of resides in limited driving range electric vehicles, combined with significant charging time. While cost is less than fuel, this charge time adds to overall travel and may overlap customers’ windows. All these factors increased computational exponentially resulted need overlook some constraints such as traffic congestion, road conditions,...

Biomedical image analysis is one of the most challenging and inevitable part computer aided diagnostic systems. Automated can detect various diseases automatically without human intervention. Computer vision artificial intelligence sometimes defeat power reveal some hidden information from biomedical images. In field health care, accurate results are highly required within stipulated amount time. But to increase accuracy, proper preprocessing with sophisticated algorithms required. Low...

Beyond a simple concern for the company's picture, global competition requires cost reduction, process rationalization and on-time delivery of customers to remain economically viable competitive. This needs continuous improvement sustainable strategy, but before this phase, it is necessary find influential parameters put them under control in order stabilize process. For this, we referred Lean Six-Sigma (LSS) tools. In paper, concentrate on wastes that affect cycle times produce good within...

The use of manufacturing cycle efficiency (MCE), which has appeared as a key strategy to dramatically boost the production, is examined in this research. MCE gives production tools it needs handle waste, bottlenecks, and interruptions efficiently, boosts output, profitability, competitiveness. This research finds No-Value-Added (NVA) processes calculates using thorough methodology that combines qualitative quantitative methodologies, through deep discussions field investigations automotive...

This article explores the important role of traditional shipyards in global maritime industry, covering aspects construction, repair, and maintenance. With advent faster manufacturing techniques, face challenges, such as planning errors, coordination problems, delivery delays, underutilization technology, which results high costs, reduced productivity, prolonged projects. The application Manufacturing Cycle Efficiency (MCE) emerged an solution to significantly increase production efficiency....

LoRa technology is being integrated into industrial applications as part of Industry 4.0 owing to its longer range and low power consumption. However, noise, interference, the fading effect all have a negative impact on performance in an environment, necessitating solutions ensure reliable communication. This paper evaluates compares LoRa’s terms packet error rate (PER) with without forward correction (FEC) environment. The integrating infinite impulse response (IIR) or finite (FIR) filter...

This article describes how different traffic planning and routing models have been developed for road modeling. In this context, we compare the in mathematical literature that are more used modeling of car phenomena. The study deals with scales representation frameworks Therefore, distinguish microscopic from macroscopic adapted to flow models. comparison ends a critical analysis research perspectives consider development SUMO simulator.

In the present paper, new type of extension classical beta function is introduced and its convergence proved. Further it used to introduce Gauss hypergeometric confluent functions. Then we study their properties, integral representation, certain fractional derivatives, formulas application these

Motivated by the need to take care about physical and mental health of container terminal workers reducing pollution in port area saving energy handling equipment. This study compares performance rubber tired gantries (RTGs) electric (E-RTGs) from perspective savings CO2 reduction, analyzes impact E-RTG use on green policies international hub ports. discovered that cranes offer a significant improvement compared with RTGs, can achieve 86.60% 67.79% reduction emissions.

Skin cancer is a dangerous disease causing high proportion of deaths around the world. Any diagnosis begins with careful clinical examination, followed by blood test and medical imaging examinations. Medical today one main tools for diagnosing cancers. It allows us to obtain precise images, internal organs thus visualize possible tumours that they present. These images provide information on location, size evolutionary stage tumour lesions. Automatic classification skin using an important...

Abstract In this paper, we present a new hybrid algorithm which is combination of Cuckoo search and Firefly optimization. We focus in research on method combining two heuristic optimization techniques, Search (CS) Algorithm (FA) for the global Denoted as CS-FA. The CS-FA technique incorporates concepts from CS FA creates individuals generation not only by random walk found but also mechanisms FA. To analyze benefits hybridization, have comparatively evaluated classical Algorithms versus...