Titlebook: International Conference on Applied Technologies; 5th International Co Miguel Botto-Tobar,Marcelo Zambrano Vizuete,Benjam Conference procee

BURSA

Physicochemical and?Microbiological Characterization of?Drinking Water from?the?Luz de América parisOctober (dry season) of 2022. The study assessed the quality of the drinking water consumed in the parish by collecting 176 samples in each season, as there have been no studies on water quality in the area. Physicochemical and microbiological parameters were analyzed according to the NTE INEN 1108

殺死

Machine Learning Models for Identifying Patterns in GNSS Meteorological Datam (GNSS) stations located in Ecuador. Meteorological data of LJEC, PLEC, CUEC, and GZEC was collected and analyzed. For each station, three years (2017–2019) meteorological data recorded throughout each year at one-second intervals were analyzed. Data mining techniques are employed for in-depth anal

coagulate

archetype

Rose Plant Disease Detection Using Image Processing and Machine Learningrs to examinations of patterns on the plant that may be observed with the naked eye. A vital component of sustainable agriculture is the observation of plant health and the identification of disease. The manual monitoring of plant diseases is highly challenging. It necessitates a huge amount of work

整頓

沉思的魚

intertwine

cancer

anesthesia

無可非議

Impact of AI Infused Leadership on Subordinate Employee’s Job Satisfaction: A Study Across Select Sujob satisfaction in information technology projects. The present study employs an exploratory research design and utilizes a quantitative data methodology. An intricately designed questionnaire was devised to gather the data.To determine the sample size, the Cochran Formula is used, using a known po