Search

Daywayshwar D. Misir

Examiner (ID: 3626, Phone: (571)272-5243 , Office: P/2129 )

Most Active Art Unit
2127
Art Unit(s)
2129, 2122, 2127
Total Applications
618
Issued Applications
516
Pending Applications
34
Abandoned Applications
82

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17294533 [patent_doc_number] => 20210390372 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-16 [patent_title] => CROSS-TEMPORAL PREDICTIVE DATA ANALYSIS [patent_app_type] => utility [patent_app_number] => 16/898861 [patent_app_country] => US [patent_app_date] => 2020-06-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15618 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 170 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16898861 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/898861
Cross-temporal predictive data analysis Jun 10, 2020 Issued
Array ( [id] => 18547455 [patent_doc_number] => 11720808 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-08 [patent_title] => Feature removal framework to streamline machine learning [patent_app_type] => utility [patent_app_number] => 16/886316 [patent_app_country] => US [patent_app_date] => 2020-05-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 12275 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 280 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16886316 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/886316
Feature removal framework to streamline machine learning May 27, 2020 Issued
Array ( [id] => 17010010 [patent_doc_number] => 20210241171 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-05 [patent_title] => MACHINE LEARNING FEATURE ENGINEERING [patent_app_type] => utility [patent_app_number] => 16/877407 [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] => 9425 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 220 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16877407 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/877407
Machine learning feature engineering May 17, 2020 Issued
Array ( [id] => 16424255 [patent_doc_number] => 20200349453 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-05 [patent_title] => METHOD AND SYSTEM FOR SOLVING A DYNAMIC PROGRAMMING PROBLEM [patent_app_type] => utility [patent_app_number] => 16/863502 [patent_app_country] => US [patent_app_date] => 2020-04-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11674 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [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] => 16863502 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/863502
METHOD AND SYSTEM FOR SOLVING A DYNAMIC PROGRAMMING PROBLEM Apr 29, 2020 Abandoned
Array ( [id] => 16393612 [patent_doc_number] => 20200334553 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-22 [patent_title] => APPARATUS AND METHOD FOR PREDICTING ERROR OF ANNOTATION [patent_app_type] => utility [patent_app_number] => 16/854002 [patent_app_country] => US [patent_app_date] => 2020-04-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3384 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 80 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16854002 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/854002
APPARATUS AND METHOD FOR PREDICTING ERROR OF ANNOTATION Apr 20, 2020 Abandoned
Array ( [id] => 17771575 [patent_doc_number] => 11403519 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-08-02 [patent_title] => Machine learning network implemented by statically scheduled instructions, with system-on-chip [patent_app_type] => utility [patent_app_number] => 16/841601 [patent_app_country] => US [patent_app_date] => 2020-04-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 22 [patent_no_of_words] => 8395 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 282 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16841601 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/841601
Machine learning network implemented by statically scheduled instructions, with system-on-chip Apr 5, 2020 Issued
Array ( [id] => 17651840 [patent_doc_number] => 11354570 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-06-07 [patent_title] => Machine learning network implemented by statically scheduled instructions, with MLA chip [patent_app_type] => utility [patent_app_number] => 16/841598 [patent_app_country] => US [patent_app_date] => 2020-04-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 22 [patent_no_of_words] => 8396 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 300 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16841598 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/841598
Machine learning network implemented by statically scheduled instructions, with MLA chip Apr 5, 2020 Issued
Array ( [id] => 17573334 [patent_doc_number] => 11321607 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-05-03 [patent_title] => Machine learning network implemented by statically scheduled instructions, with compiler [patent_app_type] => utility [patent_app_number] => 16/840216 [patent_app_country] => US [patent_app_date] => 2020-04-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 22 [patent_no_of_words] => 8346 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 283 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16840216 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/840216
Machine learning network implemented by statically scheduled instructions, with compiler Apr 2, 2020 Issued
Array ( [id] => 16397819 [patent_doc_number] => 20200338677 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-29 [patent_title] => MACHINE LEARNING DEVICE, PREDICTION DEVICE, AND CONTROLLER [patent_app_type] => utility [patent_app_number] => 16/839395 [patent_app_country] => US [patent_app_date] => 2020-04-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8247 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [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] => 16839395 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/839395
Machine learning device, prediction device, and controller Apr 2, 2020 Issued
Array ( [id] => 16527846 [patent_doc_number] => 20200401926 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-24 [patent_title] => MULTI-PASS SYSTEM FOR EMULATING A QUANTUM COMPUTER AND METHODS FOR USE THEREWITH [patent_app_type] => utility [patent_app_number] => 16/835914 [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] => 6425 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 167 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16835914 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/835914
Multi-pass system for emulating a quantum computer and methods for use therewith Mar 30, 2020 Issued
Array ( [id] => 16409221 [patent_doc_number] => 10817780 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-10-27 [patent_title] => Electron transport gate circuits and methods of manufacture, operation and use [patent_app_type] => utility [patent_app_number] => 16/828384 [patent_app_country] => US [patent_app_date] => 2020-03-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 12 [patent_no_of_words] => 11514 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 104 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16828384 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/828384
Electron transport gate circuits and methods of manufacture, operation and use Mar 23, 2020 Issued
Array ( [id] => 18446333 [patent_doc_number] => 11681905 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-06-20 [patent_title] => Hardware-assisted gradient optimization using streamed gradients [patent_app_type] => utility [patent_app_number] => 16/827367 [patent_app_country] => US [patent_app_date] => 2020-03-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 9179 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 266 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16827367 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/827367
Hardware-assisted gradient optimization using streamed gradients Mar 22, 2020 Issued
Array ( [id] => 17352585 [patent_doc_number] => 11227225 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-01-18 [patent_title] => Predictive project saturation decision making process [patent_app_type] => utility [patent_app_number] => 16/814744 [patent_app_country] => US [patent_app_date] => 2020-03-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 7 [patent_no_of_words] => 7425 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 221 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16814744 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/814744
Predictive project saturation decision making process Mar 9, 2020 Issued
Array ( [id] => 18371019 [patent_doc_number] => 11651197 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-05-16 [patent_title] => Holistic service advisor system [patent_app_type] => utility [patent_app_number] => 16/808595 [patent_app_country] => US [patent_app_date] => 2020-03-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 11254 [patent_no_of_claims] => 12 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 209 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16808595 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/808595
Holistic service advisor system Mar 3, 2020 Issued
Array ( [id] => 17352588 [patent_doc_number] => 11227228 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-01-18 [patent_title] => Processing apparatus, processing method, estimating apparatus, estimating method, and program [patent_app_type] => utility [patent_app_number] => 16/792472 [patent_app_country] => US [patent_app_date] => 2020-02-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 18 [patent_no_of_words] => 14312 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 223 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16792472 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/792472
Processing apparatus, processing method, estimating apparatus, estimating method, and program Feb 16, 2020 Issued
Array ( [id] => 15938607 [patent_doc_number] => 20200160937 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-05-21 [patent_title] => NEURAL NETWORK FOR PROCESSING APTAMER DATA [patent_app_type] => utility [patent_app_number] => 16/752513 [patent_app_country] => US [patent_app_date] => 2020-01-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5477 [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] => 16752513 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/752513
Neural network for processing aptamer data Jan 23, 2020 Issued
Array ( [id] => 16676256 [patent_doc_number] => 20210065022 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-04 [patent_title] => MOTION DATA LABELING SYSTEM, METHOD AND NON-TRANSITORY COMPUTER READABLE MEDIUM [patent_app_type] => utility [patent_app_number] => 16/748815 [patent_app_country] => US [patent_app_date] => 2020-01-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6007 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 87 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16748815 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/748815
MOTION DATA LABELING SYSTEM, METHOD AND NON-TRANSITORY COMPUTER READABLE MEDIUM Jan 21, 2020 Abandoned
Array ( [id] => 18950161 [patent_doc_number] => 11893457 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-02-06 [patent_title] => Integrating simulated and real-world data to improve machine learning models [patent_app_type] => utility [patent_app_number] => 16/743417 [patent_app_country] => US [patent_app_date] => 2020-01-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 7 [patent_no_of_words] => 8486 [patent_no_of_claims] => 12 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 422 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16743417 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/743417
Integrating simulated and real-world data to improve machine learning models Jan 14, 2020 Issued
Array ( [id] => 16463365 [patent_doc_number] => 10846716 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-11-24 [patent_title] => System and method for facilitating training of a prediction model to estimate a user vehicle damage tolerance [patent_app_type] => utility [patent_app_number] => 16/728728 [patent_app_country] => US [patent_app_date] => 2019-12-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 15872 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 341 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16728728 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/728728
System and method for facilitating training of a prediction model to estimate a user vehicle damage tolerance Dec 26, 2019 Issued
Array ( [id] => 15774009 [patent_doc_number] => 20200118022 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-16 [patent_title] => Determining Comprehensiveness of Question Paper Given Syllabus [patent_app_type] => utility [patent_app_number] => 16/715686 [patent_app_country] => US [patent_app_date] => 2019-12-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8292 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [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] => 16715686 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/715686
Determining Comprehensiveness of Question Paper Given Syllabus Dec 15, 2019 Abandoned
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