Complexity of Deep Convolutional Neural Networks in Mobile Computing
Neural networks employ massive interconnection of simple computing units called neurons to compute the problems that are highly nonlinear and could not be hard coded into a program. These neural networks are computation-intensive, and training them requires a lot of training data. Each training exam...
Gespeichert in:
| Veröffentlicht in: | Complexity (New York, N.Y.) Jg. 2020; H. 2020; S. 1 - 8 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Cairo, Egypt
Hindawi Publishing Corporation
17.09.2020
Hindawi John Wiley & Sons, Inc Wiley |
| Schlagworte: | |
| ISSN: | 1076-2787, 1099-0526 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Neural networks employ massive interconnection of simple computing units called neurons to compute the problems that are highly nonlinear and could not be hard coded into a program. These neural networks are computation-intensive, and training them requires a lot of training data. Each training example requires heavy computations. We look at different ways in which we can reduce the heavy computation requirement and possibly make them work on mobile devices. In this paper, we survey various techniques that can be matched and combined in order to improve the training time of neural networks. Additionally, we also review some extra recommendations to make the process work for mobile devices as well. We finally survey deep compression technique that tries to solve the problem by network pruning, quantization, and encoding the network weights. Deep compression reduces the time required for training the network by first pruning the irrelevant connections, i.e., the pruning stage, which is then followed by quantizing the network weights via choosing centroids for each layer. Finally, at the third stage, it employs Huffman encoding algorithm to deal with the storage issue of the remaining weights. |
|---|---|
| AbstractList | Neural networks employ massive interconnection of simple computing units called neurons to compute the problems that are highly nonlinear and could not be hard coded into a program. These neural networks are computation-intensive, and training them requires a lot of training data. Each training example requires heavy computations. We look at different ways in which we can reduce the heavy computation requirement and possibly make them work on mobile devices. In this paper, we survey various techniques that can be matched and combined in order to improve the training time of neural networks. Additionally, we also review some extra recommendations to make the process work for mobile devices as well. We finally survey deep compression technique that tries to solve the problem by network pruning, quantization, and encoding the network weights. Deep compression reduces the time required for training the network by first pruning the irrelevant connections, i.e., the pruning stage, which is then followed by quantizing the network weights via choosing centroids for each layer. Finally, at the third stage, it employs Huffman encoding algorithm to deal with the storage issue of the remaining weights. |
| Audience | Academic |
| Author | Nazir, Shah Naeem, Saad Khan, Habib Ullah Jamil, Noreen |
| Author_xml | – sequence: 1 fullname: Nazir, Shah – sequence: 2 fullname: Khan, Habib Ullah – sequence: 3 fullname: Jamil, Noreen – sequence: 4 fullname: Naeem, Saad |
| BookMark | eNqFkUtv1DAUhS1UJNqBHWsUiSWk9dvxspryqFRgA2vLjq8HD5l4sDMt_fc4TUUFAiEvrmV95xxdnxN0NKYREHpO8CkhQpxRTPEZ6wRTHX6EjgnWusWCyqP5rmRLVaeeoJNSthhjLZk6RhfrtNsP8CNOt00KzQXAvlmn8ToNhymm0Q7NRzjkuzHdpPytNHFsPiQXB2hmaaXGzVP0ONihwLP7uUJf3r75vH7fXn16d7k-v2p7rtnUOhc6JqV21HPBRLC9l9Z12AkffMegI0EyIrgUjmrvtKdOO-WsdRyICMBW6HLx9cluzT7Hnc23Jtlo7h5S3hibp9gPYBgoyTmRlPnAmQ0OK1pDwYPGEKiqXi8Xr31O3w9QJrNNh1wXLoZyLrlSiukHamOraRxDmrLtd7H05ryjRGE2u67Q6V-oejzsYl87CvW7fhe8XgR9TqVkCL-WIdjMVZq5SnNfZcXpH3gfJzv3U3Pi8C_Rq0X0NY7e3sT_RbxYaKgMBPtAE04Uw-wnsyK3VA |
| CitedBy_id | crossref_primary_10_1016_j_procs_2022_12_023 crossref_primary_10_1155_2022_4016073 |
| Cites_doi | 10.1109/T-C.1974.223784 10.1155/2020/8856801 10.1016/j.future.2016.09.015n 10.1109/TCSVT.2019.2910119 10.1109/proc.1969.6869 |
| ContentType | Journal Article |
| Copyright | Copyright © 2020 Saad Naeem et al. COPYRIGHT 2020 John Wiley & Sons, Inc. Copyright © 2020 Saad Naeem et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
| Copyright_xml | – notice: Copyright © 2020 Saad Naeem et al. – notice: COPYRIGHT 2020 John Wiley & Sons, Inc. – notice: Copyright © 2020 Saad Naeem et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
| DBID | ADJCN AHFXO AHMDM RHU RHW RHX AAYXX CITATION 3V. 7XB 8FE 8FG 8FK 8G5 ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ GUQSH HCIFZ JQ2 K7- M2O MBDVC P5Z P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS Q9U DOA |
| DOI | 10.1155/2020/3853780 |
| DatabaseName | الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete قاعدة العلوم الإنسانية - e-Marefa Humanities Hindawi Publishing Complete Hindawi Publishing Subscription Journals Hindawi Publishing Open Access CrossRef ProQuest Central (Corporate) ProQuest Central (purchase pre-March 2016) ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) Research Library (Alumni Edition) ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Technology collection ProQuest One Community College ProQuest Central ProQuest Central Student Research Library Prep SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database ProQuest Research Library Research Library (Corporate) Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic DOAJ Open Access Full Text |
| DatabaseTitle | CrossRef Research Library Prep Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Research Library (Alumni Edition) ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Central Korea ProQuest Research Library ProQuest Central (New) Advanced Technologies & Aerospace Collection ProQuest Central Basic ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) |
| DatabaseTitleList | CrossRef Research Library Prep |
| Database_xml | – sequence: 1 dbid: RHX name: Hindawi Publishing Open Access url: http://www.hindawi.com/journals/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) Mathematics |
| EISSN | 1099-0526 |
| Editor | Khan, Atif |
| Editor_xml | – sequence: 1 givenname: Atif surname: Khan fullname: Khan, Atif |
| EndPage | 8 |
| ExternalDocumentID | oai_doaj_org_article_3e76441623df43afb072453ede90ef27 A821703245 10_1155_2020_3853780 1141730 |
| GrantInformation_xml | – fundername: Qatar University grantid: IRCC-2020-009 |
| GroupedDBID | .3N .DC .GA .Y3 05W 0R~ 10A 1L6 24P 31~ 3R3 3SF 3WU 4.4 4ZD 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5GY 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8FE 8FG 8G5 8UM 930 A03 AAESR AAEVG AAFWJ AAMMB AANHP AAONW ABCQN ABEML ABIJN ABPVW ABUWG ACBWZ ACCMX ACRPL ACSCC ACXQS ACYXJ ADBBV ADIZJ ADJCN ADNMO AEFGJ AEIMD AENEX AFBPY AFKRA AFPKN AFZJQ AGQPQ AGXDD AHFXO AHMDM AIDQK AIDYY AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS AMBMR AMVHM ARAPS ASPBG ATUGU AVWKF AZBYB AZFZN AZQEC AZVAB BAFTC BCNDV BDRZF BENPR BFHJK BGLVJ BHBCM BNHUX BPHCQ BROTX BRXPI BY8 CCPQU CS3 D-E D-F DCZOG DPXWK DR2 DU5 DWQXO EBD EBS EJD F00 F01 F04 F5P FEDTE G-S G.N GNP GNUQQ GODZA GROUPED_DOAJ GUQSH H.T H.X H13 HBH HCIFZ HF~ HHY HVGLF HZ~ IAO ICD ITC IX1 J0M JPC K6V K7- KQQ LAW LC2 LC3 LH4 LP6 LP7 LW6 M2O MK4 N04 N05 N9A NF~ NNB O9- OIG OK1 P2P P2X P4D P62 PHGZM PHGZT PQGLB PQQKQ PROAC PUEGO Q.N Q11 QB0 QRW R.K ROL RX1 RYL SUPJJ TUS V2E W8V W99 WBKPD WQJ WYUIH XG1 XPP XSW XV2 ~IA ~WT 1OC 33P 3V. AAJEY O66 P2W RHU RHW RHX RWI WIH WRC XBAML AAYXX AFFHD ALUQN CITATION O8X 7XB 8FK JQ2 MBDVC PKEHL PQEST PQUKI PRINS Q9U |
| ID | FETCH-LOGICAL-c493t-bbf83669b2d4535facd6ab80b5dfd83e81f6315465b29db9d2b9b7baab4e15fe3 |
| IEDL.DBID | RHX |
| ISICitedReferencesCount | 3 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000576069700008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1076-2787 |
| IngestDate | Mon Nov 10 04:30:55 EST 2025 Fri Jul 25 21:02:27 EDT 2025 Mon Nov 24 16:07:18 EST 2025 Sat Nov 29 10:29:28 EST 2025 Tue Nov 18 22:26:28 EST 2025 Sat Nov 29 03:19:27 EST 2025 Sun Jun 02 18:51:30 EDT 2024 Thu Sep 25 15:01:25 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2020 |
| Language | English |
| License | This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c493t-bbf83669b2d4535facd6ab80b5dfd83e81f6315465b29db9d2b9b7baab4e15fe3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-0697-9187 0000-0003-0126-9944 0000-0001-8373-2781 |
| OpenAccessLink | https://dx.doi.org/10.1155/2020/3853780 |
| PQID | 2446477739 |
| PQPubID | 2029978 |
| PageCount | 8 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_3e76441623df43afb072453ede90ef27 proquest_journals_2446477739 gale_infotracmisc_A821703245 gale_infotracacademiconefile_A821703245 crossref_primary_10_1155_2020_3853780 crossref_citationtrail_10_1155_2020_3853780 hindawi_primary_10_1155_2020_3853780 emarefa_primary_1141730 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-09-17 |
| PublicationDateYYYYMMDD | 2020-09-17 |
| PublicationDate_xml | – month: 09 year: 2020 text: 2020-09-17 day: 17 |
| PublicationDecade | 2020 |
| PublicationPlace | Cairo, Egypt |
| PublicationPlace_xml | – name: Cairo, Egypt – name: Hoboken |
| PublicationTitle | Complexity (New York, N.Y.) |
| PublicationYear | 2020 |
| Publisher | Hindawi Publishing Corporation Hindawi John Wiley & Sons, Inc Wiley |
| Publisher_xml | – name: Hindawi Publishing Corporation – name: Hindawi – name: John Wiley & Sons, Inc – name: Wiley |
| References | 8 13 3 6 (5) 2017; 3 7 |
| References_xml | – ident: 6 doi: 10.1109/T-C.1974.223784 – ident: 13 doi: 10.1155/2020/8856801 – volume: 3 year: 2017 ident: 5 publication-title: Journal of Imaging – ident: 8 doi: 10.1016/j.future.2016.09.015n – ident: 3 doi: 10.1109/TCSVT.2019.2910119 – ident: 7 doi: 10.1109/proc.1969.6869 |
| SSID | ssj0009637 |
| Score | 2.2483983 |
| Snippet | Neural networks employ massive interconnection of simple computing units called neurons to compute the problems that are highly nonlinear and could not be hard... |
| SourceID | doaj proquest gale crossref hindawi emarefa |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Accuracy Algorithms Artificial neural networks Brain Centroids Counting Electronic devices Huffman codes Knowledge Learning Mobile computing Mobile devices Neural networks Neurons Pattern recognition Signal processing Surveys Time compression Training Video compression Wireless networks |
| SummonAdditionalLinks | – databaseName: DOAJ Open Access Full Text dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3da9UwFA8yFPRB3PyqXiUPExUpa5Pm63FuDh_c8EFlbyFpEnZBesd6nfjfe06aXjdE9uJTaZs2ycn5yA9yfoeQXQkgWRkZatjL8rpLnNVGy74G8ByVYU75zKX37ZM6OdGnp-bzlVJfeCZsogeeBLcHn2DIhigdUsdd8o1ineAxRNPExHIeeaPMDKZmul2Z2TIB28iagU7OR96FQLTf7HGIUgqpIK8Eo8zZnxNzHdy7jY--c4bo-OfyL2-dQ9DRA3K_7B3p_jTmbXIrDjvk3vGGeHXcIdvFVkf6phBKv31IDtHokfhy_YuuEj2M8ZwerIbLonXwS6ToyJd8Jnyky4Eerzw4DDpVfYD49oh8Pfrw5eBjXaon1H1n-Lr2PmkupfEsgLxEcn2QzuvGi5CC5lG3SfIWa6F7ZoI3gXnjlXfOd7EVKfLHZGtYDfEpoYghnVCNYdJ1SXZaaI9Fr5IRvXfSVeTdLEbbF2pxrHDx3WaIIYRFodsi9Iq82rQ-nyg1_tHuPa7Ipg0SYecHoB62qIe9ST0q8qSs55--2q4Fv1aR17i-Fg0ZBtu7ko8AU0ZKLLuvAa01sN8UFVlcawkG2F97vVs05IbpLGb1scVPjBY2V5gJrLh59j9m-5zcxS7xPEurFmRrffEjviC3-8v1crx4mU3kN4ffDHA priority: 102 providerName: Directory of Open Access Journals – databaseName: Advanced Technologies & Aerospace Database dbid: P5Z link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Nb9QwEB1BAakcgJavhQXlUASoiprEsR2fUGmpONCqB0AVF8uObVipSpbNUsS_Z8br3aVCwIFTlNhyYvn5zYxjvwHYERgkSyVcjr4sy-vAqlw1os0xePZSVUbaqKX38Z08OWnOztRpWnAb0rbKJSdGonZ9S2vke2iG6MykZOrV9GtOWaPo72pKoXEVrpFKAqVuOOWf1qK7ImpmYoQj8gqRudz4zjnF_MUeQ1slSRDyF5MUlfvj8VyD92bF1De-UIz8ffIbZ0dDdHT7f7twB24lFzTbX2BmC674bhtuHq_0W4dt2EpTfsheJF3ql3fhkLiD9DPnP7I-ZIfeT7ODvrtI4MUmSekjXuLW8iGbdNlxb5F3skXyCDST9-DD0Zv3B2_zlIQhb2vF5rm1oWFCKFu5mjMeTOuEsU1huQuuYb4pg2AlpVS3lXJWucoqK60xtvYlD57dh42u7_xDyCgUNVwWqhKmDqJueGMpd1ZQvLVGmBHsLsdBt0mhnBJlnOsYqXCuadR0GrURPFvVni6UOf5Q7zUN6aoO6WnHB_3ss07TUyMwyTFEX9CFmplgC1lhd73zqvChkiN4kACxfldZl0iPI3hOANHEB_ixrUnHGrDLpKyl9xsM-gp0W_kIxpdq4jxuLxXvJIj9ozvjJbh0optBr5H16O_Fj2GTGqMNL6Ucw8Z89s0_gevtxXwyzJ7G2fMT_FAa-w priority: 102 providerName: ProQuest |
| Title | Complexity of Deep Convolutional Neural Networks in Mobile Computing |
| URI | https://search.emarefa.net/detail/BIM-1141730 https://dx.doi.org/10.1155/2020/3853780 https://www.proquest.com/docview/2446477739 https://doaj.org/article/3e76441623df43afb072453ede90ef27 |
| Volume | 2020 |
| WOSCitedRecordID | wos000576069700008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1099-0526 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009637 issn: 1076-2787 databaseCode: DOA dateStart: 20170101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1099-0526 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009637 issn: 1076-2787 databaseCode: P5Z dateStart: 20120101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1099-0526 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009637 issn: 1076-2787 databaseCode: K7- dateStart: 20120101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1099-0526 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009637 issn: 1076-2787 databaseCode: BENPR dateStart: 20120101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Research Library customDbUrl: eissn: 1099-0526 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009637 issn: 1076-2787 databaseCode: M2O dateStart: 20120101 isFulltext: true titleUrlDefault: https://search.proquest.com/pqrl providerName: ProQuest – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 1099-0526 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009637 issn: 1076-2787 databaseCode: 24P dateStart: 20170101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bb9MwFLZggDQeEBu3QKnyMAQIWSR2bMePu2oStFQToIoXy05sUWlKp6UM8e85x3U7lQnBi6MkzsX2uX2J_R1C9iSAZKVlSyGW5bQKnFFdy4YCePZKM6tc5NL7-lGNx_V0qieJJKm_-QsfvB3C8-I9B7eiasDmt2uBM7fOTqfX3LoyUmMCkJGUgQCu5rf_ce2G54kE_XEVroV9uzbI974jFP45u2Gao785eUgepEAx31-O7A655btdcn-0Zlntd8lOUsw-f5PYo98-Ikeo4chyufiVz0N-5P1FfjjvrpKIwS2RjyNu4gTwPp91-WjuwDrkyxQP4Mweky8nx58PT2lKlUCbSvMFdS7UXErtWFsJLoJtWmldXTjRhrbmvi6D5CUmPndMt063zGmnnLWu8qUInj8hW928889IjoDRClVoJm0VZAX97TDDVdCicVbajLxbdaNpEo84prM4NxFPCGGw003q9Iy8Wte-WPJn_KXeAY7Iug6yXscDIAkmKZEB8cHwDSK2NlTcBlcoBs31rdeFD0xl5Gkaz-tnlVUJRiwjr3F8DWotvGxj0-IDaDLyX5n9GqBZAcGlyMhgoyZoW7Nxei9JyD-aM1iJj0lGoTcQSeGyX8X18_-7ywuyjbs4PaVUA7K1uPzhX5K7zdVi1l8OyZ2D4_HkbBg_I0D5QVEoR-wTlBPxbRiV5DcYT_8y |
| linkProvider | Hindawi Publishing |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwELVKAQEHoOVrYYEcWgFCURM7tuMDQqVL1Wo_xKFUvRk7sWEltFk2S6v-KX4jM1lnlwoBpx44RUksJ07evJlJ7DeEbAlIkqUSZQyxLIszz2isclHEkDw7qaiRttHSOx7I0Sg_OVEf1siPdi0MTqtsObEh6rIq8Bv5DrghXDMpmXo7_RZj1Sj8u9qW0FjAou_OzyBlq98c9uD9blO6__5o7yAOVQXiIlNsHlvrcyaEsrTMOOPeFKUwNk8sL32ZM5enXrAUa4RbqkqrSmqVldYYm7mUe8eg3yvkasZyiXbVl_FK5Fc0Gp2QUYmYgiW0E-05x28MyQ4D3yhRgPIXF9hUCmiWAxvYN0vPcP0L5uRn4998ROP49u_8b4_sLrkdQuxod2ETG2TNTTbJreFSn7beJBuB0uroZdDdfnWP9JAbUR90fh5VPuo5N432qslpME7oEpVMmk0zdb6OxpNoWFng1WhRHAPCgPvk46WM7QFZn1QT94hEmGobLhNFhcm8yHKeW6wN5hUvrBGmQ163710XQYEdC4F81U0mxrlGlOiAkg7ZXraeLpRH_tDuHUJo2Qb1wpsD1eyzDvSjwfAw8IVYt_QZM94mksJwXelU4jyVHfIwAHB1rTRLgf475AUCUiPfwc0WJizbgCGjcpjezSGpTSAs5x3SvdASeKq4cHorQPofw-m2YNaBTmu9QvLjv59-Tm4cHA0HenA46j8hN7FjnNyTyi5Zn8--u6fkWnE6H9ezZ43lRuTTZeP-J_DVer8 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Complexity+of+Deep+Convolutional+Neural+Networks+in+Mobile+Computing&rft.jtitle=Complexity+%28New+York%2C+N.Y.%29&rft.au=Naeem%2C+Saad&rft.au=Jamil%2C+Noreen&rft.au=Khan%2C+Habib+Ullah&rft.au=Nazir%2C+Shah&rft.date=2020-09-17&rft.pub=John+Wiley+%26+Sons%2C+Inc&rft.issn=1076-2787&rft.volume=2020&rft_id=info:doi/10.1155%2F2020%2F3853780&rft.externalDocID=A821703245 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1076-2787&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1076-2787&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1076-2787&client=summon |