This article presents a proposal to automate the classification of viability for yeast Saccharomyces cerevisiae species, responsible for the commercial production of ethanol, using as attribute the color absorbed by vital dye methylene blue. The methodology is used widely in the Brazilians distilleries and consist in count the colorless cells that are considered feasible, separate them from col...

Given the paramount importance of data mining in organizations and possible contribution a data-driven customer classification recommender systems for loan-extending financial institutions, study applied supervised approaches to derive best classifier loan default. A total 900 instances with determined attributes class labels were used training cross-validation processes while prediction 100 ne...

This work demonstrates the application of an electronic nose (e-nose) for discrimination between authentic and adulterated honey. The developed e-nose is based on electrodes covered with ionogel (ionic liquid + gelatin Fe3O4 nanoparticle) films. Authentic honey samples were submitted to analysis, capacity sensors was evaluated using principal component analysis (PCA) average relative response d...

مادة آلی محلول رنگی (CDOM) مقیاس مهمی در سنجش کیفیت آب است. می‌توان اذعان کرد CDOM نور موجود لایه‌های را کاهش می‌دهد و فعالیت‌های بیولوژیکی فتوسنتز مختل می‌کند سرانجام، مانع رشد جمعیت فیتوپلانکتون‌‌هایی می‌شود که برای زنجیرة غذای آبزیان ضروری‌اند. بیشتر تحقیق‌هایی تا کنون به انجام رسیده، از طول موج خاصی اندازه‌گیری ضریب جذب استفاده شده است اما، این تحقیق، امکان گسترة‌ وسیعی باندهای طیف مرئی، تع...

Autism Spectrum Disorder (ASD) is one of the most common children's neurodevelopmental disorders (NDD) with an estimated global incidence 1% to 2%. There are two aims for this research, first, propose a data mining architecture that combines behavioural and clinical characteristics demographic data. Second, provide quick, acceptable easy way support ASD diagnosis. can be performed by conducting...

This work presents a new approach for classification of genomic sequences from measurements of complex networks and information theory. For this, it is considered the nucleotides, dinucleotides and trinucleotides of a genomic sequence. For each of them, the entropy, sum entropy and maximum entropy values are calculated. For each of them is also generated a network, in which the nodes are the nu...

This paper investigates a number of computational intelligence techniques in the detection of heart disease. Particularly, comparison of six well known classifiers for the well used Cleveland data is performed. Further, this paper highlights the potential of an expert judgment based (i.e., medical knowledge driven) feature selection process (termed as MFS), and compare against the generally emp...

Current machine learning techniques provide the opportunity to develop noninvasive and automated glioma grading tools, by utilizing quantitative parameters derived from multi-modal magnetic resonance imaging (MRI) data. However, the efficacies of different machine learning methods in glioma grading have not been investigated.A comprehensive comparison of varied machine learning methods in diffe...

Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research proposed the design and implementation of mobile, low cost accurate air monitoring system using Arduino microcontroller gas sensor MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature,...

در این مقاله، به‌منظور رفع برخی محدودیت‌های شناسایی ساختمان تصاویر چندطیفی، از دادة SAR به‌منزلة مکمل استفاده می‌شود. روش پیشنهادی، برای استفادة هم‌زمان اطلاعات مفید رادار و استراتژی مبتنی‌بر تلفیق تصاویر، با هدف ساختمان، مطرح همچنین، ازآن‌جاکه انتخاب ویژگی نقش بسزایی طبقه‌بندی عوارض دارد، اغلب روش‌های مرسوم رایج زمینه، مانند الگوریتم ژنتیک، نیازمند داده‌های آموزشی‌اند؛ اما دردسترس‌نبودن همیشگی...