كچ ي هد فده و هقباس : ي ک ي طقس زورب للع زا اه ي ،ررکم ا لماوع تلاخد ي ژولونوم ي ک ا رد ي ن قم طققس عون ي وراد دقشاب ي س ي روپسولک ي ،ن ح لدم رد طقس شهاک بجوم ي ناو ي CBA/j×DBA/2 م ي تنآ ددرگ ي داب ي اه ي ان و راققتم TGF-β لماوع زا عت مهم يي ن گلماح تشونرس هدننک ي سررب روظنم هب رضاح هعلاطم تسا ي ات ث ي ر اس ي روپسولک ي ن م رب ي از ا ي ن تنآ عون ي داب ي س و اه ي اکوت ي ن TGF...

شور و داوم اه : 35 عون يتبايد 2 نس اب 9 ± 54 لاس ) درم و نز ( دروم روكوس ود ينيلاب يئامزآ راك دراو و باختنا يدهاش 2 دندش ههام . دعب هرود زا 2 هتفه ناراميب ،نپوكيل يئاذغ عبانم فرصم عنم اب يزاسكاپ يا 8 هتفه نپوكيل لمكم هدننك تفايرد هورگ ود هب ) mg/d 10 ) ( 16 = n ( اي وبسلاپ ) 19 = n ( دندش ميسقت . رد هك دش هداد شزومآ ناراميب هب دنهدن رييغت ار دوخ يندب تيلاعف و يئاذغ ميژر ناكمالاا يت...

Support vector machines (SVM) and K-nearest neighbors (KNN) are two computational machine learning tools that perform supervised classification. This paper presents a novel application of such supervised analytical tools for microbial community profiling and to distinguish patterning among ecosystems. Amplicon length heterogeneity (ALH) profiles from several hypervariable regions of 16S rRNA ge...

Feature extraction is an important step in the process of electroencephalogram (EEG) signal classification. The authors propose a "pattern recognition" approach that discriminates EEG signals recorded during different cognitive conditions. Wavelet based feature extraction such as, multi-resolution decompositions into detailed and approximate coefficients as well as relative wavelet energy were ...

لمعتست ةديدج طوطخ ريوطتل ساسلأا ثحبلا اذه عضي ةلصفنم فورحب ةيبرعلا صوصنلا ةباتآ يف . طوطخلا هذه دعاست ىلع ،بتكلا ةعابط يف لمعتست نأ نكميو تادنتسملل يللآا مهفلا و ،دئارجلا و ىرخلأا داوملا لآ و ،تايرودلا ةعوبطملا . طوطخلا هذه لثم جاتنإ دنع يه امآ ىقبت ةيبرعلا ةباتكلل ىرخلأا صئاصخلا لآ نإف عبطلابو . و رورملاب ةلصفنم فورحب ةيبرعلا صوصنلا ةباتكل انتوعد معدت ةيوق ةجح مدقن هتأشن ذنم يبرعلا طخلل ثدح ...

this paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision rules, on-line learning, linear classifier, Rocchio’s algorithm, k Nearest Neighbor (kNN), Support Vector Machines (SVM).

This paper provides a survey of numerous data mining classification techniques for innovative database applications. Classification is a model finding process that is used for assigning the data into different classes according to specific constrains. There are several major kinds of classification algorithms including Genetic algorithm C4.5, Naive Bayes, SVM, KNN, decision tree and CART. We de...

Port State Control (PSC) inspection is the most important mechanism to ensure world marine safe. Recently, some SVM-based risk assessment schemes have been presented in the world. They estimate the risk of each candidate ship based on its generic factors and history inspection factors to select high-risk one before conducting on-board PSC inspection. However, how to improve the performance of t...

White matter hyperintensities (WMH) on T2 or FLAIR sequences have been commonly observed on MR images of elderly people. They have been associated with various disorders and have been shown to be a strong risk factor for stroke and dementia. WMH studies usually required visual evaluation of WMH load or time-consuming manual delineation. This paper introduced WHASA (White matter Hyperintensities...