Jila M. Mohandesi

Array ( [id] => 17346264 [patent_doc_number] => 20220012595 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-13 [patent_title] => TRAINING A STUDENT NEURAL NETWORK TO MIMIC A MENTOR NEURAL NETWORK WITH INPUTS THAT MAXIMIZE STUDENT-TO-MENTOR DISAGREEMENT [patent_app_type] => utility [patent_app_number] => 16/923913 [patent_app_country] => US [patent_app_date] => 2020-07-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12418 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -27 [patent_words_short_claim] => 182 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16923913 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17338565 [patent_doc_number] => 20220004896 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-06 [patent_title] => METHOD AND SYSTEM FOR DYNAMIC LATENT VECTOR ALLOCATION [patent_app_type] => utility [patent_app_number] => 16/919690 [patent_app_country] => US [patent_app_date] => 2020-07-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7088 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 165 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16919690 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17317648 [patent_doc_number] => 20210406697 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-30 [patent_title] => INTERACTION DETERMINATION USING ONE OR MORE NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/913160 [patent_app_country] => US [patent_app_date] => 2020-06-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 52716 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -25 [patent_words_short_claim] => 35 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16913160 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16543959 [patent_doc_number] => 20200410374 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-31 [patent_title] => SYSTEM AND METHOD FOR FLEET MANAGEMENT OF PORTABLE OXYGEN CONCENTRATORS [patent_app_type] => utility [patent_app_number] => 16/913685 [patent_app_country] => US [patent_app_date] => 2020-06-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13248 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [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] => 16913685 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16378611 [patent_doc_number] => 20200327453 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-15 [patent_title] => SPACE EFFICIENT RANDOM DECISION FOREST MODELS IMPLEMENTATION UTILIZING AUTOMATA PROCESSORS [patent_app_type] => utility [patent_app_number] => 16/913582 [patent_app_country] => US [patent_app_date] => 2020-06-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8148 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 58 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16913582 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17246030 [patent_doc_number] => 20210365774 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-25 [patent_title] => ANOMALY DETECTION ACCORDING TO A MULTI-MODEL ANALYSIS [patent_app_type] => utility [patent_app_number] => 16/881770 [patent_app_country] => US [patent_app_date] => 2020-05-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14116 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 162 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16881770 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17794582 [patent_doc_number] => 20220253674 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-11 [patent_title] => SPIKING NEURAL NETWORK SYSTEM, LEARNING PROCESSING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM [patent_app_type] => utility [patent_app_number] => 17/595731 [patent_app_country] => US [patent_app_date] => 2020-05-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9899 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -3 [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] => 17595731 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17722530 [patent_doc_number] => 20220215252 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-07-07 [patent_title] => METHOD AND SYSTEM FOR INITIALIZING A NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 17/609296 [patent_app_country] => US [patent_app_date] => 2020-05-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12348 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 84 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17609296 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18087750 [patent_doc_number] => 11537887 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-12-27 [patent_title] => Action selection for reinforcement learning using a manager neural network that generates goal vectors defining agent objectives [patent_app_type] => utility [patent_app_number] => 16/866753 [patent_app_country] => US [patent_app_date] => 2020-05-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 10057 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 228 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16866753 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16179526 [patent_doc_number] => 20200226495 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-16 [patent_title] => METHOD, SYSTEM AND APPARATUS USING FIELD LEARNING TO UPGRADE TRENDING SENSOR CURVES INTO FUEL GAUGE BASED VISUALIZATION OF PREDICTIVE MAINTENANCE BY USER DRIVEN FEEDBACK MECHANISM [patent_app_type] => utility [patent_app_number] => 16/828257 [patent_app_country] => US [patent_app_date] => 2020-03-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6442 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 125 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16828257 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16165113 [patent_doc_number] => 20200220789 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-09 [patent_title] => LEARNING DEVICE INTERACTION RULES [patent_app_type] => utility [patent_app_number] => 16/823059 [patent_app_country] => US [patent_app_date] => 2020-03-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12930 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 73 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16823059 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17106706 [patent_doc_number] => 11126926 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-09-21 [patent_title] => Concurrent results processing in a quantum control system [patent_app_type] => utility [patent_app_number] => 16/812903 [patent_app_country] => US [patent_app_date] => 2020-03-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 13 [patent_no_of_words] => 20004 [patent_no_of_claims] => 27 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 150 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16812903 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17380327 [patent_doc_number] => 11238345 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-02-01 [patent_title] => Legendre memory units in recurrent neural networks [patent_app_type] => utility [patent_app_number] => 17/049943 [patent_app_country] => US [patent_app_date] => 2020-03-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 5769 [patent_no_of_claims] => 12 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 232 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17049943 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16271411 [patent_doc_number] => 20200272899 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-27 [patent_title] => Systems and Methods for Deploying and Updating Neural Networks at the Edge of a Network [patent_app_type] => utility [patent_app_number] => 16/797422 [patent_app_country] => US [patent_app_date] => 2020-02-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 25641 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 114 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16797422 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17508024 [patent_doc_number] => 20220101127 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-31 [patent_title] => AUTOMATIC OPTIMIZATION OF MACHINE LEARNING ALGORITHMS IN THE PRESENCE OF TARGET DATASETS [patent_app_type] => utility [patent_app_number] => 17/428395 [patent_app_country] => US [patent_app_date] => 2020-02-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6452 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [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] => 17428395 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16826888 [patent_doc_number] => 20210142181 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-13 [patent_title] => ADVERSARIAL TRAINING OF MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 16/775635 [patent_app_country] => US [patent_app_date] => 2020-01-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10897 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 82 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16775635 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17637079 [patent_doc_number] => 11347803 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-05-31 [patent_title] => Systems and methods for adaptive question answering [patent_app_type] => utility [patent_app_number] => 16/752868 [patent_app_country] => US [patent_app_date] => 2020-01-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 6665 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 413 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16752868 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19523227 [patent_doc_number] => 12124958 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-10-22 [patent_title] => Idempotence-constrained neural network [patent_app_type] => utility [patent_app_number] => 16/748871 [patent_app_country] => US [patent_app_date] => 2020-01-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 7145 [patent_no_of_claims] => 15 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 102 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16748871 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16225409 [patent_doc_number] => 20200250526 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-06 [patent_title] => METHOD AND DEVICE FOR ATTENTION-DRIVEN RESOURCE ALLOCATION BY USING REINFORCEMENT LEARNING AND V2X COMMUNICATION TO THEREBY ACHIEVE SAFETY OF AUTONOMOUS DRIVING [patent_app_type] => utility [patent_app_number] => 16/738749 [patent_app_country] => US [patent_app_date] => 2020-01-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11311 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -24 [patent_words_short_claim] => 160 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16738749 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16209487 [patent_doc_number] => 20200242477 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-30 [patent_title] => METHOD AND DEVICE FOR PROVIDING INFORMATION FOR EVALUATING DRIVING HABITS OF DRIVER BY DETECTING DRIVING SCENARIOS OCCURRING DURING DRIVING [patent_app_type] => utility [patent_app_number] => 16/724747 [patent_app_country] => US [patent_app_date] => 2019-12-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7885 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -24 [patent_words_short_claim] => 164 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16724747 [rel_patent_id] =>[rel_patent_doc_number] =>)