Search

Melvyn J Andrews

Examiner (ID: 12036)

Most Active Art Unit
1101
Art Unit(s)
1311, 1101, 1103, 1304, 1754, 1742, 2899
Total Applications
2496
Issued Applications
2155
Pending Applications
103
Abandoned Applications
237

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17637282 [patent_doc_number] => 11348006 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-05-31 [patent_title] => Mitigating overfitting in training machine trained networks [patent_app_type] => utility [patent_app_number] => 16/812361 [patent_app_country] => US [patent_app_date] => 2020-03-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 9 [patent_no_of_words] => 9666 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 184 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16812361 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/812361
Mitigating overfitting in training machine trained networks Mar 7, 2020 Issued
Array ( [id] => 16096391 [patent_doc_number] => 20200202182 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-25 [patent_title] => RISKY TRANSACTION IDENTIFICATION METHOD AND APPARATUS [patent_app_type] => utility [patent_app_number] => 16/802627 [patent_app_country] => US [patent_app_date] => 2020-02-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8906 [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] => 16802627 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/802627
Risky transaction identification method and apparatus Feb 26, 2020 Issued
Array ( [id] => 17009979 [patent_doc_number] => 20210241140 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-05 [patent_title] => HYBRID METHODS AND SYSTEMS FOR FEATURE SELECTION [patent_app_type] => utility [patent_app_number] => 16/782730 [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] => 7275 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [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] => 16782730 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/782730
HYBRID METHODS AND SYSTEMS FOR FEATURE SELECTION Feb 4, 2020 Abandoned
Array ( [id] => 15562521 [patent_doc_number] => 20200065672 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-27 [patent_title] => Systems and Methods for Providing Reinforcement Learning in a Deep Learning System [patent_app_type] => utility [patent_app_number] => 16/576697 [patent_app_country] => US [patent_app_date] => 2019-09-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7958 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 109 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16576697 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/576697
Systems and Methods for Providing Reinforcement Learning in a Deep Learning System Sep 18, 2019 Pending
Array ( [id] => 16691142 [patent_doc_number] => 20210073620 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-11 [patent_title] => NEUROMORPHIC SPIKE INTEGRATOR APPARATUS [patent_app_type] => utility [patent_app_number] => 16/565852 [patent_app_country] => US [patent_app_date] => 2019-09-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5467 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 91 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16565852 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/565852
NEUROMORPHIC SPIKE INTEGRATOR APPARATUS Sep 9, 2019 Pending
Array ( [id] => 15215945 [patent_doc_number] => 20190370659 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-05 [patent_title] => OPTIMIZING NEURAL NETWORK ARCHITECTURES [patent_app_type] => utility [patent_app_number] => 16/540558 [patent_app_country] => US [patent_app_date] => 2019-08-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6852 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 236 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16540558 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/540558
OPTIMIZING NEURAL NETWORK ARCHITECTURES Aug 13, 2019 Abandoned
Array ( [id] => 19045831 [patent_doc_number] => 11934946 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-19 [patent_title] => Learning and recall in spiking neural networks [patent_app_type] => utility [patent_app_number] => 16/529759 [patent_app_country] => US [patent_app_date] => 2019-08-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 8 [patent_no_of_words] => 7149 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 119 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16529759 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/529759
Learning and recall in spiking neural networks Jul 31, 2019 Issued
Array ( [id] => 17706941 [patent_doc_number] => 20220206947 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-30 [patent_title] => METHOD AND SYSTEM USING AI CALL PREDICTION AND CACHE [patent_app_type] => utility [patent_app_number] => 17/624812 [patent_app_country] => US [patent_app_date] => 2019-07-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7269 [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] => 17624812 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/624812
METHOD AND SYSTEM USING AI CALL PREDICTION AND CACHE Jul 4, 2019 Pending
Array ( [id] => 19124411 [patent_doc_number] => 11968414 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-04-23 [patent_title] => Systems and methods for forecasting program viewership [patent_app_type] => utility [patent_app_number] => 16/444514 [patent_app_country] => US [patent_app_date] => 2019-06-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 18 [patent_no_of_words] => 6030 [patent_no_of_claims] => 42 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 277 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16444514 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/444514
Systems and methods for forecasting program viewership Jun 17, 2019 Issued
Array ( [id] => 14751513 [patent_doc_number] => 20190258930 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-22 [patent_title] => APPARATUS FOR ASCERTAINING PREDICTED SUBJECTIVE REFRACTION DATA OR PREDICTED CORRECTION VALUES, AND COMPUTER PROGRAM [patent_app_type] => utility [patent_app_number] => 16/404991 [patent_app_country] => US [patent_app_date] => 2019-05-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8101 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 156 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16404991 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/404991
APPARATUS FOR ASCERTAINING PREDICTED SUBJECTIVE REFRACTION DATA OR PREDICTED CORRECTION VALUES, AND COMPUTER PROGRAM May 6, 2019 Abandoned
Array ( [id] => 16300213 [patent_doc_number] => 20200285936 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-10 [patent_title] => COGNITIVE SYSTEM [patent_app_type] => utility [patent_app_number] => 16/293376 [patent_app_country] => US [patent_app_date] => 2019-03-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 26212 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 172 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16293376 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/293376
COGNITIVE SYSTEM Mar 4, 2019 Pending
Array ( [id] => 16285585 [patent_doc_number] => 20200279187 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-03 [patent_title] => MODEL AND INFRASTRUCTURE HYPER-PARAMETER TUNING SYSTEM AND METHOD [patent_app_type] => utility [patent_app_number] => 16/288563 [patent_app_country] => US [patent_app_date] => 2019-02-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5498 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 188 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16288563 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/288563
MODEL AND INFRASTRUCTURE HYPER-PARAMETER TUNING SYSTEM AND METHOD Feb 27, 2019 Pending
Array ( [id] => 18639327 [patent_doc_number] => 11763943 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-09-19 [patent_title] => Automated ventricular ectopic beat classification [patent_app_type] => utility [patent_app_number] => 16/283159 [patent_app_country] => US [patent_app_date] => 2019-02-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 9806 [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] => 16283159 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/283159
Automated ventricular ectopic beat classification Feb 21, 2019 Issued
Array ( [id] => 15821515 [patent_doc_number] => 10635941 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-04-28 [patent_title] => Method and device for on-device continual learning of neural network which analyzes input data by optimized sampling of training images, and method and device for testing the neural network for smartphones, drones, vessels, or military purpose [patent_app_type] => utility [patent_app_number] => 16/260263 [patent_app_country] => US [patent_app_date] => 2019-01-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 10616 [patent_no_of_claims] => 26 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 525 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16260263 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/260263
Method and device for on-device continual learning of neural network which analyzes input data by optimized sampling of training images, and method and device for testing the neural network for smartphones, drones, vessels, or military purpose Jan 28, 2019 Issued
Array ( [id] => 16210175 [patent_doc_number] => 20200243165 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-30 [patent_title] => PREDICTION MODEL FOR DETERMINING WHETHER FEATURE VECTOR OF DATA IN EACH OF MULTIPLE INPUT SEQUENCES SHOULD BE ADDED TO THAT OF THE OTHER DATA IN THE SEQUENCE [patent_app_type] => utility [patent_app_number] => 16/259706 [patent_app_country] => US [patent_app_date] => 2019-01-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7365 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 155 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16259706 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/259706
PREDICTION MODEL FOR DETERMINING WHETHER FEATURE VECTOR OF DATA IN EACH OF MULTIPLE INPUT SEQUENCES SHOULD BE ADDED TO THAT OF THE OTHER DATA IN THE SEQUENCE Jan 27, 2019 Pending
Array ( [id] => 15215921 [patent_doc_number] => 20190370647 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-05 [patent_title] => ARTIFICIAL INTELLIGENCE ANALYSIS AND EXPLANATION UTILIZING HARDWARE MEASURES OF ATTENTION [patent_app_type] => utility [patent_app_number] => 16/256844 [patent_app_country] => US [patent_app_date] => 2019-01-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11456 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 141 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16256844 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/256844
ARTIFICIAL INTELLIGENCE ANALYSIS AND EXPLANATION UTILIZING HARDWARE MEASURES OF ATTENTION Jan 23, 2019 Pending
Array ( [id] => 16018855 [patent_doc_number] => 20200184271 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-11 [patent_title] => ITERATIVE DATA PATTERN PROCESSING ENGINE LEVERAGING DEEP LEARNING TECHNOLOGY [patent_app_type] => utility [patent_app_number] => 16/210125 [patent_app_country] => US [patent_app_date] => 2018-12-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10384 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 221 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16210125 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/210125
ITERATIVE DATA PATTERN PROCESSING ENGINE LEVERAGING DEEP LEARNING TECHNOLOGY Dec 4, 2018 Pending
Array ( [id] => 15805601 [patent_doc_number] => 20200125943 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-23 [patent_title] => ADVERSIAL DEEP NEURAL NETWORK FUZZING [patent_app_type] => utility [patent_app_number] => 16/163611 [patent_app_country] => US [patent_app_date] => 2018-10-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6199 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [patent_words_short_claim] => 123 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16163611 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/163611
ADVERSIAL DEEP NEURAL NETWORK FUZZING Oct 17, 2018 Pending
Array ( [id] => 13907423 [patent_doc_number] => 20190042916 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-02-07 [patent_title] => Reward-Based Updating of Synaptic Weights with A Spiking Neural Network to Perform Thermal Management [patent_app_type] => utility [patent_app_number] => 16/147573 [patent_app_country] => US [patent_app_date] => 2018-09-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16698 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 149 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16147573 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/147573
Reward-Based Updating of Synaptic Weights with A Spiking Neural Network to Perform Thermal Management Sep 27, 2018 Pending
Array ( [id] => 14108291 [patent_doc_number] => 20190095821 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-03-28 [patent_title] => BUILDING RISK ANALYSIS SYSTEM WITH EXPIRY TIME PREDICTION FOR THREATS [patent_app_type] => utility [patent_app_number] => 16/143274 [patent_app_country] => US [patent_app_date] => 2018-09-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 41362 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 161 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16143274 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/143274
BUILDING RISK ANALYSIS SYSTEM WITH EXPIRY TIME PREDICTION FOR THREATS Sep 25, 2018 Abandoned
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