Shelley M Self

Array ( [id] => 17423519 [patent_doc_number] => 11256977 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-02-22 [patent_title] => Lowering hardware for neural networks [patent_app_type] => utility [patent_app_number] => 15/857909 [patent_app_country] => US [patent_app_date] => 2017-12-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 9 [patent_no_of_words] => 11306 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 189 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15857909 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 12870049 [patent_doc_number] => 20180181858 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-06-28 [patent_title] => CONVOLUTIONAL NEURAL NETWORK (CNN) PROCESSING METHOD AND APPARATUS [patent_app_type] => utility [patent_app_number] => 15/848298 [patent_app_country] => US [patent_app_date] => 2017-12-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12840 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -36 [patent_words_short_claim] => 55 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15848298 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14315291 [patent_doc_number] => 20190147349 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-05-16 [patent_title] => MULTI-DIMENSIONAL COGNITION FOR UNIFIED COGNITION IN COGNITIVE ASSISTANCE [patent_app_type] => utility [patent_app_number] => 15/813118 [patent_app_country] => US [patent_app_date] => 2017-11-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15054 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 96 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15813118 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14315285 [patent_doc_number] => 20190147346 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-05-16 [patent_title] => DATABASE SYSTEMS AND INTERACTIVE USER INTERFACES FOR DYNAMIC CONVERSATIONAL INTERACTIONS [patent_app_type] => utility [patent_app_number] => 15/811526 [patent_app_country] => US [patent_app_date] => 2017-11-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14181 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 97 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15811526 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 12593280 [patent_doc_number] => 20180089589 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-03-29 [patent_title] => MACHINE LEARNING DEVICE AND MACHINE LEARNING METHOD FOR LEARNING OPTIMAL OBJECT GRASP ROUTE [patent_app_type] => utility [patent_app_number] => 15/708130 [patent_app_country] => US [patent_app_date] => 2017-09-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6155 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 133 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15708130 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13961933 [patent_doc_number] => 20190057311 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-02-21 [patent_title] => WEATHER AND EXPERIENCE SYMBIOSIS WITH RESPECT TO PRINCIPAL PERFORMANCE [patent_app_type] => utility [patent_app_number] => 15/677120 [patent_app_country] => US [patent_app_date] => 2017-08-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7962 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 90 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15677120 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15167461 [patent_doc_number] => 10489225 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2019-11-26 [patent_title] => Automatic resource dependency tracking and structure for maintenance of resource fault propagation [patent_app_type] => utility [patent_app_number] => 15/674087 [patent_app_country] => US [patent_app_date] => 2017-08-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 9052 [patent_no_of_claims] => 9 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 370 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15674087 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13722547 [patent_doc_number] => 20170372229 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2017-12-28 [patent_title] => METHOD AND APPARATUS FOR MANAGING MACHINE LEARNING PROCESS [patent_app_type] => utility [patent_app_number] => 15/597976 [patent_app_country] => US [patent_app_date] => 2017-05-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 21392 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -4 [patent_words_short_claim] => 237 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15597976 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13467391 [patent_doc_number] => 20180285238 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-10-04 [patent_title] => INTELLIGENT DEINSTRUMENTATION OF INSTRUMENTED APPLICATIONS [patent_app_type] => utility [patent_app_number] => 15/474164 [patent_app_country] => US [patent_app_date] => 2017-03-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5068 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 74 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15474164 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13467409 [patent_doc_number] => 20180285247 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-10-04 [patent_title] => SYSTEMS, METHODS, AND APPARATUS FOR AUTOMATED CODE TESTING [patent_app_type] => utility [patent_app_number] => 15/472825 [patent_app_country] => US [patent_app_date] => 2017-03-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11692 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -24 [patent_words_short_claim] => 219 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15472825 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 12758452 [patent_doc_number] => 20180144652 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-05-24 [patent_title] => PARALLELIZATION APPROACHES OF MODIFIED TEACHING LEARNING BASED SEARCH OPTIMIZATION TECHNIQUE FOR VARIABLE SELECTION [patent_app_type] => utility [patent_app_number] => 15/469045 [patent_app_country] => US [patent_app_date] => 2017-03-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8627 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 533 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15469045 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18506771 [patent_doc_number] => 11704590 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-07-18 [patent_title] => Methods and systems for predicting failure of a power control unit of a vehicle [patent_app_type] => utility [patent_app_number] => 15/468618 [patent_app_country] => US [patent_app_date] => 2017-03-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 7 [patent_no_of_words] => 4998 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 254 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15468618 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13450083 [patent_doc_number] => 20180276584 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-09-27 [patent_title] => FACILITATING ORGANIZATIONAL MANAGEMENT USING BUG DATA [patent_app_type] => utility [patent_app_number] => 15/469431 [patent_app_country] => US [patent_app_date] => 2017-03-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7192 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15469431 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 12665764 [patent_doc_number] => 20180113754 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-04-26 [patent_title] => SYSTEM AND METHOD FOR DYNAMIC PROXY GENERATION [patent_app_type] => utility [patent_app_number] => 15/469088 [patent_app_country] => US [patent_app_date] => 2017-03-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4028 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15469088 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13449997 [patent_doc_number] => 20180276541 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-09-27 [patent_title] => DEEP LEARNING FOR CREDIT CONTROLS [patent_app_type] => utility [patent_app_number] => 15/467632 [patent_app_country] => US [patent_app_date] => 2017-03-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18823 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -21 [patent_words_short_claim] => 128 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15467632 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15248257 [patent_doc_number] => 10509653 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2019-12-17 [patent_title] => Vector processing system [patent_app_type] => utility [patent_app_number] => 15/429520 [patent_app_country] => US [patent_app_date] => 2017-02-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 5 [patent_no_of_words] => 7871 [patent_no_of_claims] => 22 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 224 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15429520 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13347127 [patent_doc_number] => 20180225103 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-08-09 [patent_title] => OPTIMIZING SERVICE DEPLOYMENT IN A DISTRIBUTED COMPUTING ENVIRONMENT [patent_app_type] => utility [patent_app_number] => 15/428444 [patent_app_country] => US [patent_app_date] => 2017-02-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8235 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 96 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15428444 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16745643 [patent_doc_number] => 10970636 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-04-06 [patent_title] => Adaptive system for predicting integration failures in large systems [patent_app_type] => utility [patent_app_number] => 15/416442 [patent_app_country] => US [patent_app_date] => 2017-01-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 8 [patent_no_of_words] => 6915 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 273 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15416442 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17062367 [patent_doc_number] => 11106973 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-08-31 [patent_title] => Method and system for bit-depth reduction in artificial neural networks [patent_app_type] => utility [patent_app_number] => 15/415810 [patent_app_country] => US [patent_app_date] => 2017-01-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 13 [patent_no_of_words] => 6710 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 270 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15415810 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13318351 [patent_doc_number] => 20180210713 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-07-26 [patent_title] => METHODS AND SYSTEMS FOR USING CROSS REPOSITORIES [patent_app_type] => utility [patent_app_number] => 15/413707 [patent_app_country] => US [patent_app_date] => 2017-01-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13346 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 120 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15413707 [rel_patent_id] =>[rel_patent_doc_number] =>)