Ronak C. Patel

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Array ( [id] => 19420226 [patent_doc_number] => 20240296349 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-09-05 [patent_title] => SYSTEMS AND METHODS FOR PREDICTIONS USING A KNOWLEDGE GRAPH [patent_app_type] => utility [patent_app_number] => 18/176891 [patent_app_country] => US [patent_app_date] => 2023-03-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9230 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 117 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18176891 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19482627 [patent_doc_number] => 20240330669 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-10-03 [patent_title] => REINFORCED LEARNING APPROACH TO GENERATE TRAINING DATA [patent_app_type] => utility [patent_app_number] => 18/116129 [patent_app_country] => US [patent_app_date] => 2023-03-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7767 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 113 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18116129 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18630729 [patent_doc_number] => 20230289624 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-09-14 [patent_title] => STORAGE MEDIUM, INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD [patent_app_type] => utility [patent_app_number] => 18/088825 [patent_app_country] => US [patent_app_date] => 2022-12-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4498 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 89 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18088825 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18349794 [patent_doc_number] => 20230137905 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-05-04 [patent_title] => SOURCE-FREE ACTIVE ADAPTATION TO DISTRIBUTIONAL SHIFTS FOR MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 18/089513 [patent_app_country] => US [patent_app_date] => 2022-12-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16571 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [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] => 18089513 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19144773 [patent_doc_number] => 20240143702 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-05-02 [patent_title] => MACHINE LEARNING ALGORITHM SELECTION [patent_app_type] => utility [patent_app_number] => 17/977941 [patent_app_country] => US [patent_app_date] => 2022-10-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10484 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 132 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17977941 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18652023 [patent_doc_number] => 20230297859 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-09-21 [patent_title] => METHOD AND APPARATUS FOR GENERATING MULTI-DRONE NETWORK COOPERATIVE OPERATION PLAN BASED ON REINFORCEMENT LEARNING [patent_app_type] => utility [patent_app_number] => 17/964536 [patent_app_country] => US [patent_app_date] => 2022-10-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11009 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 93 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17964536 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18148710 [patent_doc_number] => 20230022567 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-01-26 [patent_title] => INTELLIGENT KNOWLEDGE PLATFORM [patent_app_type] => utility [patent_app_number] => 17/873957 [patent_app_country] => US [patent_app_date] => 2022-07-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11388 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 17873957 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18925909 [patent_doc_number] => 20240028913 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-01-25 [patent_title] => HEURISTIC-BASED INTER-TRAINING WITH FEW-SHOT FINE-TUNING OF MACHINE LEARNING NETWORKS [patent_app_type] => utility [patent_app_number] => 17/870561 [patent_app_country] => US [patent_app_date] => 2022-07-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7493 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 71 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17870561 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18832932 [patent_doc_number] => 20230401459 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-12-14 [patent_title] => IMAGE INFERENCE METHOD, COMPUTER DEVICE, AND STORAGE MEDIUM [patent_app_type] => utility [patent_app_number] => 17/854333 [patent_app_country] => US [patent_app_date] => 2022-06-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3577 [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] => 17854333 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18881757 [patent_doc_number] => 20240005126 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-01-04 [patent_title] => Communication of Data for a Model Between Nodes in an Electronic Device [patent_app_type] => utility [patent_app_number] => 17/853670 [patent_app_country] => US [patent_app_date] => 2022-06-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14289 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 110 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17853670 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17832691 [patent_doc_number] => 20220269995 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-25 [patent_title] => LEARNING DEVICE, LEARNING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM [patent_app_type] => utility [patent_app_number] => 17/742938 [patent_app_country] => US [patent_app_date] => 2022-05-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5982 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -2 [patent_words_short_claim] => 150 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17742938 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18007474 [patent_doc_number] => 20220366240 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-11-17 [patent_title] => APPARATUS AND METHOD FOR TASK-ADAPTIVE NEURAL NETWORK RETRIEVAL BASED ON META-CONTRASTIVE LEARNING [patent_app_type] => utility [patent_app_number] => 17/731710 [patent_app_country] => US [patent_app_date] => 2022-04-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5924 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 110 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17731710 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18728378 [patent_doc_number] => 20230342671 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-10-26 [patent_title] => SURROGATE MODEL FOR TIME-SERIES MODEL INTERPRETATION [patent_app_type] => utility [patent_app_number] => 17/728207 [patent_app_country] => US [patent_app_date] => 2022-04-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6103 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 131 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17728207 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17899685 [patent_doc_number] => 20220309347 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-29 [patent_title] => END-TO-END ADAPTIVE DEEP LEARNING TRAINING AND INFERENCE METHOD AND TOOL CHAIN TO IMPROVE PERFORMANCE AND SHORTEN DEVELOPMENT CYCLES [patent_app_type] => utility [patent_app_number] => 17/703969 [patent_app_country] => US [patent_app_date] => 2022-03-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3383 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 111 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17703969 [rel_patent_id] =>[rel_patent_doc_number] =>)

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Array ( [id] => 18585037 [patent_doc_number] => 20230267301 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-08-24 [patent_title] => NEURAL NETWORK INFERENCE QUANTIZATION [patent_app_type] => utility [patent_app_number] => 17/652102 [patent_app_country] => US [patent_app_date] => 2022-02-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6993 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 99 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17652102 [rel_patent_id] =>[rel_patent_doc_number] =>)

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