Charlotte M. Baker

Array ( [id] => 17558504 [patent_doc_number] => 11315219 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-04-26 [patent_title] => Remote distribution of neural networks [patent_app_type] => utility [patent_app_number] => 16/888171 [patent_app_country] => US [patent_app_date] => 2020-05-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 18 [patent_no_of_words] => 12797 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 169 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16888171 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17824871 [patent_doc_number] => 11429819 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-08-30 [patent_title] => Packer classification apparatus and method using PE section information [patent_app_type] => utility [patent_app_number] => 16/887436 [patent_app_country] => US [patent_app_date] => 2020-05-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 2 [patent_figures_cnt] => 2 [patent_no_of_words] => 1535 [patent_no_of_claims] => 8 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 106 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16887436 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18933270 [patent_doc_number] => 11885683 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-01-30 [patent_title] => Method for estimating chlorophyll content of a leaf [patent_app_type] => utility [patent_app_number] => 17/442232 [patent_app_country] => US [patent_app_date] => 2020-05-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 8 [patent_no_of_words] => 5517 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 192 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17442232 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17054676 [patent_doc_number] => 20210264110 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-26 [patent_title] => DENOVO GENERATION OF MOLECULES USING MANIFOLD TRAVERSAL [patent_app_type] => utility [patent_app_number] => 16/884174 [patent_app_country] => US [patent_app_date] => 2020-05-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6270 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 179 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16884174 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17352547 [patent_doc_number] => 11227187 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-01-18 [patent_title] => Generating artificial intelligence solutions using raw data and simulated data [patent_app_type] => utility [patent_app_number] => 16/880824 [patent_app_country] => US [patent_app_date] => 2020-05-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 35 [patent_figures_cnt] => 35 [patent_no_of_words] => 31206 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 227 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16880824 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17744748 [patent_doc_number] => 11392821 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-07-19 [patent_title] => Detecting behavior patterns utilizing machine learning model trained with multi-modal time series analysis of diagnostic data [patent_app_type] => utility [patent_app_number] => 16/877631 [patent_app_country] => US [patent_app_date] => 2020-05-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 15 [patent_no_of_words] => 8587 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 218 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16877631 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17230360 [patent_doc_number] => 20210356917 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-18 [patent_title] => NEURAL NETWORK CIRCUITRY FOR MOTORS WITH FIRST PLURALITY OF NEURONS AND SECOND PLURALITY OF NEURONS [patent_app_type] => utility [patent_app_number] => 15/931372 [patent_app_country] => US [patent_app_date] => 2020-05-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14200 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 119 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15931372 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16577699 [patent_doc_number] => 20210012100 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-14 [patent_title] => ACTION CLASSIFICATION USING DEEP EMBEDDED CLUSTERING [patent_app_type] => utility [patent_app_number] => 15/931258 [patent_app_country] => US [patent_app_date] => 2020-05-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6618 [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] => 15931258 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16439532 [patent_doc_number] => 20200356858 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-12 [patent_title] => SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE WITH PRIVACY-PRESERVING NODE EMBEDDINGS [patent_app_type] => utility [patent_app_number] => 16/870932 [patent_app_country] => US [patent_app_date] => 2020-05-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11031 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 234 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16870932 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19626479 [patent_doc_number] => 12165316 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-12-10 [patent_title] => Medical image analysis system and method for identification of lesions [patent_app_type] => utility [patent_app_number] => 17/607307 [patent_app_country] => US [patent_app_date] => 2020-04-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 5620 [patent_no_of_claims] => 26 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 173 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17607307 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17195227 [patent_doc_number] => 11163986 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-11-02 [patent_title] => Using batches of training items for training a network [patent_app_type] => utility [patent_app_number] => 16/852329 [patent_app_country] => US [patent_app_date] => 2020-04-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 10 [patent_no_of_words] => 13792 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 147 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16852329 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16393548 [patent_doc_number] => 20200334489 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-22 [patent_title] => METHOD AND PROCESSING UNIT FOR COMPUTER-IMPLEMENTED ANALYSIS OF A CLASSIFICATION MODEL [patent_app_type] => utility [patent_app_number] => 16/847072 [patent_app_country] => US [patent_app_date] => 2020-04-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4975 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 146 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16847072 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16208585 [patent_doc_number] => 20200241575 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-30 [patent_title] => MOTION AND IMAGE-BASED CONTROL SYSTEM [patent_app_type] => utility [patent_app_number] => 16/846575 [patent_app_country] => US [patent_app_date] => 2020-04-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 22438 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 122 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16846575 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19089343 [patent_doc_number] => 11950762 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-04-09 [patent_title] => Electronic endoscope system and data processing device [patent_app_type] => utility [patent_app_number] => 17/283417 [patent_app_country] => US [patent_app_date] => 2020-04-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 19 [patent_no_of_words] => 16678 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 142 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17283417 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16714568 [patent_doc_number] => 20210081715 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-18 [patent_title] => SYSTEMS AND METHODS FOR PREDICTING THE TRAJECTORY OF AN OBJECT WITH THE AID OF A LOCATION-SPECIFIC LATENT MAP [patent_app_type] => utility [patent_app_number] => 16/835408 [patent_app_country] => US [patent_app_date] => 2020-03-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10637 [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] => 16835408 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16217646 [patent_doc_number] => 10733463 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-08-04 [patent_title] => Systems and methods for augmenting perception data with supplemental information [patent_app_type] => utility [patent_app_number] => 16/836736 [patent_app_country] => US [patent_app_date] => 2020-03-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 12 [patent_no_of_words] => 17986 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 128 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16836736 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16377876 [patent_doc_number] => 20200326718 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-15 [patent_title] => CONTROL AND MONITORING OF PHYSICAL SYSTEM BASED ON TRAINED BAYESIAN NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/831174 [patent_app_country] => US [patent_app_date] => 2020-03-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7603 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 177 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16831174 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16179462 [patent_doc_number] => 20200226430 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-16 [patent_title] => DEVICES AND METHODS FOR ACCURATELY IDENTIFYING OBJECTS IN A VEHICLE'S ENVIRONMENT [patent_app_type] => utility [patent_app_number] => 16/830341 [patent_app_country] => US [patent_app_date] => 2020-03-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15313 [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] => 16830341 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17024639 [patent_doc_number] => 20210248511 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-12 [patent_title] => SYSTEM AND METHOD FOR DETECTING INSTANCES OF LIE USING MACHINE LEARNING MODEL [patent_app_type] => utility [patent_app_number] => 16/830311 [patent_app_country] => US [patent_app_date] => 2020-03-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9639 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 122 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16830311 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17253253 [patent_doc_number] => 11188746 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-11-30 [patent_title] => Systems and methods for deep learning based approach for content extraction [patent_app_type] => utility [patent_app_number] => 16/829440 [patent_app_country] => US [patent_app_date] => 2020-03-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 5350 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 111 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16829440 [rel_patent_id] =>[rel_patent_doc_number] =>)