This study evaluates and compares the performance of four machine learning classifiers—support vector machine (SVM), normal Bayes (NB), classification and regression tree (CART) and K nearest neighbor (KNN)—to classify very high resolution images, using an object-based classification procedure. In particular, we investigated how tuning parameters affect the classification accuracy with differen...

BACKGROUND Targeting older clients for rehabilitation is a clinical challenge and a research priority. We investigate the potential of machine learning algorithms - Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) - to guide rehabilitation planning for home care clients. METHODS This study is a secondary analysis of data on 24,724 longer-term clients from eight home care programs in...

This study evaluates and compares the performance of four machine learning classifiers—support vector machine (SVM), normal Bayes (NB), classification and regression tree (CART) and K nearest neighbour (KNN) —to classify very high resolution images, using an object-based classification procedure. In particular, we investigated how tuning parameters affect the classification accuracy with differ...

A near-infrared (NIR) hyperspectral imaging system was developed in this study. NIR hyperspectral imaging combined with multivariate data analysis was applied to identify rice seed cultivars. Spectral data was exacted from hyperspectral images. Along with Partial Least Squares Discriminant Analysis (PLS-DA), Soft Independent Modeling of Class Analogy (SIMCA), K-Nearest Neighbor Algorithm (KNN) ...

The feasibility of using hyperspectral imaging with convolutional neural network (CNN) to identify rice seed varieties was studied. Hyperspectral images of 4 rice seed varieties at two different spectral ranges (380–1030 nm and 874–1734 nm) were acquired. The spectral data at the ranges of 441–948 nm (Spectral range 1) and 975–1646 nm (Spectral range 2) were extracted. K nearest neighbors (KNN)...

1 لوئسم هدنسيون : شناد دشرا يسانشراك هتخومآ هدكشناد ،شزرو يژولويزيف تيبرت ،يشزرو مولع و يندب هاگشناد ناهفصا يكينورتكلا تسپ : [email protected] 2 رايداتسا تيبرت هورگ يندب و مولع دا هدكشناد ،يشزرو ،تايب هاگشناد ناتسدرك 3 شناد هتخومآ سانشراك ي دشرا هدكشناد ،شزرو يژولويزيف تيبرت ،يشزرو مولع و يندب هاگشناد نلايگ 4 شناد دشرا يسانشراك هتخومآ هدكشناد ،شزرو يژولويزي...

هتفای اه : یم ناشن جیاتن اب هورگ هک دنهد PRAL هلیزوکیلگ نیبولگومه نییاپ %] 5 / 0 ± 7 / 5 لباقم رد % 5 / 0 ± 8 / 7 و 01 / 0 p= [ لیاسا يرت لورسیلگ ] mg/dl 3 / 2 ± 9 / 246 لباقم رد 3 / 2 ± 4 / 257 و 006 / 0 p= [ یلوتسیس راشف ، ] mmHg 7 / 0 ± 6 / 103 لباقم رد mmHg 7 / 0 ± 1 / 106 و 03 / 0 p= [ هورگ هب تبسن يرتمک ياتشان نوخ دنق و نینیتارک ، PRAL دنتشاد رتلااب . Pro:k میقتسم طابترا ه...

* لوئسم هدنسيون : تسراميب ،رفظ ،سردم نا رغصا يلع ) ع ( نفلت : 9 44503395 email: [email protected] فده و هنيمز : هچب رد يناجيه و يراتفر تلاكشم هسياقم شهوژپ نيا زا فده اب ردام يتسرپرس تحت دلاو كت ياه هداوناخ ينيمخ ماما دادما هتيمك رد دلاو ود ياه ) هر ( تسا نارهت . لثم يمئلاع يراتفر تلاكشم زا روظنم زا روظنم و تسا يعامتجا تلاكشم و يراكهزب ،يرگشاخرپ و بارطضا ،يگدرسفا لثم يمئلاع يناجيه ...

Blur Detection, in this when the image is spital varying, then the blur detection in the picture is quite difficult task, As the image is captured, the image can blured due motion and out of focus parameters and on the basis of this, blur can be devided as the local blur and global blur. Blur detection is basically to separate the Blured part and Unblured part. In this work, the use of KNN (nea...