{"id":1867,"date":"2020-03-02T18:42:00","date_gmt":"2020-03-02T15:42:00","guid":{"rendered":"http:\/\/cms.atu.edu.iq\/?page_id=1867"},"modified":"2020-12-11T14:22:49","modified_gmt":"2020-12-11T14:22:49","slug":"%d8%a7%d9%84%d8%a8%d8%ad%d9%88%d8%ab-%d8%a7%d9%84%d9%85%d9%86%d8%b4%d9%88%d8%b1%d8%a9-%d8%af-%d8%a7%d8%ad%d9%85%d8%af-%d9%83%d8%b1%d9%8a%d9%85-%d8%b9%d8%a8%d8%af-%d8%a7%d9%84%d9%84%d9%87","status":"publish","type":"page","link":"https:\/\/cms.atu.edu.iq\/?page_id=1867","title":{"rendered":"\u0627\u0644\u0628\u062d\u0648\u062b \u0627\u0644\u0645\u0646\u0634\u0648\u0631\u0629 &#8211; \u062f. \u0627\u062d\u0645\u062f \u0643\u0631\u064a\u0645 \u0639\u0628\u062f \u0627\u0644\u0644\u0647"},"content":{"rendered":"<table>\n<tbody>\n<tr>\n<td width=\"88\"><strong>\u062a<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><strong>\u0627\u0633\u0645 \u0627\u0644\u0628\u062d\u062b<\/strong><\/p>\n<div style=\"display: none;\"><a href=\"https:\/\/playytb.com\" title=\"play youtube\">play youtube<\/a><a href=\"https:\/\/playytb.com\/watch\/Port-Offers\" title=\"Port offers\">Port offers<\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>1<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-1.pdf\"><strong>A Novel Evolutionary Approach for Blind Source Separation Based on Stone\u2019s Method<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>2<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-2.pdf\"><strong>Blind Source Separation Based of Brain Computer Interface System: A review<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>3<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-3.pdf\"><strong>Blind source separation techneques based eye blinks rejection in EEG signals<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>4<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-4.pdf\"><strong>Separation of EOG Artifact and Power Line Noise-50Hz from EEG by Efficient Stone\u2019s BSS Algorithm<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>5<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-5.pdf\"><strong>Enhancement of Source Separation Based on Efficient Stone\u2019s BSS Algorithm<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>6<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-6.pdf\"><strong>Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone\u2019s BSS Algorithm<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>7<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-7.pdf\"><strong>A New Blind Source Separation Method to Remove Artifact in EEG Signals<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>8<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-8.pdf\"><strong>Discussion of Approach for Extracting Pure EOG Reference Signal from EEG Mixture Based On Wavelet Denoising Technique<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>9<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-9.pdf\"><strong>Electroencephalogram-Artifact Extraction Enhancement Based on Artificial Intelligence Technique<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>10<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-10.pdf\"><strong>Modified Approach for Tuning Fractional Order PID Controller (FOPID) Using Intelligent Control Techniques<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>11<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-11.pdf\"><strong>Frequency Hopping Spread Spectrum Recognition Based on Discrete Fourier Transform and Skewness and Kurtosis<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>12<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-12.pdf\"><strong>DESIGN OF INTELLIGENT PID CONTROLLER BASED ON MODIFIED SWARM TECHNIQUES<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>13<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-13.pdf\"><strong>Enhancement of Twins Fetal ECG Signal Extraction Based on Hybrid Blind Extraction Techniques<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>14<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-14.pdf\"><strong>Design and Simulation Intelligent Controller for Robot Arm Response Enhancement Using Intelligent Techniques<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>15<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-15.pdf\"><strong>Enhancement of AVR response based on Intelligent Fuzzy-Swarm-PID Controller<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"88\"><strong>16<\/strong><\/td>\n<td width=\"480\">\n<p style=\"text-align: center;\"><a href=\"https:\/\/cms.atu.edu.iq\/wp-content\/uploads\/2020\/03\/A-16.pdf\"><strong>Enhancement of AVR Response Based on Intelligent Fuzzy-Swarm-PID Controller<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>\u062a \u0627\u0633\u0645 \u0627\u0644\u0628\u062d\u062b play youtubePort offers 1 A Novel Evolutionary Approach for Blind Source Separation Based on Stone\u2019s Method 2 Blind Source Separation Based of Brain Computer Interface System: A review 3 Blind source separation techneques based eye blinks rejection in EEG signals 4 Separation of EOG Artifact and Power Line Noise-50Hz from EEG by &hellip; <a href=\"https:\/\/cms.atu.edu.iq\/?page_id=1867\">Continued<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1867","page","type-page","status-publish","hentry"],"featured_image_src":null,"_links":{"self":[{"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/pages\/1867","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1867"}],"version-history":[{"count":0,"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/pages\/1867\/revisions"}],"wp:attachment":[{"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1867"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}