Deep transfer learning approach for digital circuits vulnerability analysis.

• Authors : Rahimifar, M.M.¹ (AUTHOR) ; Jahanirad, H.^1,2 (AUTHOR) ; Fathi, M.² (AUTHOR)

Subjects: *ARTIFICIAL neural networks; *DEEP learning; *INTEGRATED circuit design

• Source: Expert Systems with Applications. Mar2024:Part C, Vol. 237, pN.PAG-N.PAG. 1p.

• Abstract: Hardware Trojans (HT) are the most malicious components attacking modern integrated circuits (ICs). Information leakage, incorrect functionality, and overheating are the major effects of HT ... Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be ...

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Study of bubble behavior in a gas–solid dense-phase fluidized bed based on deep learning.

• Authors : Fu, Yanhong¹ (AUTHOR); He, Xin² (AUTHOR); Wang, Song³ (AUTHOR)

Subjects: *DEEP learning; *IMAGE segmentation; *IMAGE analysis

• Source: Fuel. Feb2024:Part C, Vol. 357, pN.PAG-N.PAG. 1p.

• Abstract: [Display omitted] • An automatic bubble segmentation method based on deep learning is proposed. • Achieving a pixel accuracy of 97.95% and 80.91% MIoU for ... Copyright of Fuel is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted ...

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Satış tahmini için uzun kısa-süreli bellek ağı tabanlı derin transfer öğrenme yaklaşımı.

• Authors : Erol, Begüm^1,2 ; İnkaya, Tülin¹

Subjects: *DEEP learning; *SALES forecasting; *STANDARD deviations

• Source: Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. 2024, Vol. 39 Issue

• Abstract: Firms that operate in the production and service sectors take various decisions for the future under uncertainty in order to combat the increasing competitive conditions. ... Üretim ve hizmet sektörlerinde faaliyet gösteren firmalar, artan rekabet koşulları ile mücadele edebilmek için belirsizlik altında geleceğe yö... Copyright of Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, is the property ...

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A digital twin framework for civil engineering structures.

• Authors : Torzoni, Matteo¹ (AUTHOR) ; Tezzele, Marco² (AUTHOR) ; Mariani, Stefano¹ (AUTHOR)

Subjects: *DEEP learning; *DIGITAL twins; *STRUCTURAL engineering

• Source: Computer Methods in Applied Mechanics & Engineering. Jan2024:Part B, Vol. 418, pN.PAG-N.PAG. 1p.

• Abstract: The digital twin concept represents an appealing opportunity to advance condition-based and predictive maintenance paradigms for civil engineering systems, thus allowing ... Copyright of Computer Methods in Applied Mechanics & Engineering is the property of Elsevier B.V. and its content may not be copied or emailed ...

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Spatial prediction of soil sand content at various sampling density based on geostatistical and machine learning algorithms in plain areas.

• Authors : Qu, Lili^1,2 (AUTHOR); Lu, Huizhong³ (AUTHOR); Tian, Zhiyuan¹ (AUTHOR)

Subjects: *MACHINE learning; *DIGITAL soil mapping; *SANDCHINA

• Source: CATENA. Jan2024, Vol. 234, pN.PAG-N.PAG. 1p.

• Abstract: • The effect of sampling densities on accuracy of prediction model was explored. • Geostatistical models without environmental variables have higher prediction accuracy in plain areas when ... Copyright of CATENA is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted ...

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Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance.

• Authors : Costa, Erbet Almeida^1,2,3,4 (AUTHOR) ; Rebello, Carine Menezes⁴ (AUTHOR) ; Schnitman, Leizer¹ (AUTHOR)

• Source: Engineering Applications of Artificial Intelligence. Jan2024:Part B, Vol. 127, pN.PAG-N.PAG. 1p.

• Abstract: This paper presents a novel approach to digitizing and modeling pressure swing adsorption (PSA) processes using an uncertainty-aware digital twin. PSA ... Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not ...

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Digital Twin for Continual Learning in Location Based Services.

• Authors : Lombardo, Gianfranco¹ (AUTHOR) ; Picone, Marco² (AUTHOR) ; Mamei, Marco² (AUTHOR)

• Source: Engineering Applications of Artificial Intelligence. Jan2024:Part A, Vol. 127, pN.PAG-N.PAG. 1p.

• Abstract: Decoupling the physical world and providing standardized service interfaces is still challenging when developing Location Based Services (LBS). This lack also hinders the possibility of ... Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not ...

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Closed, one-stop intelligent and accurate particle characterization based on micro-Raman spectroscopy and digital microfluidics.

• Authors : Sheng, Han¹ (AUTHOR); Chen, Liwen^2,3 (AUTHOR); Zhao, Yinping¹ (AUTHOR)

Subjects: *MACHINE learning; *MICROFLUIDICS; *CHEMICAL testing

• Source: Talanta. Jan2024:Part 1, Vol. 266, pN.PAG-N.PAG. 1p.

• Abstract: Monoclonal antibodies are prone to form protein particles through aggregation, fragmentation, and oxidation under varying stress conditions during the manufacturing, shipping, and storage of parenteral ... Copyright of Talanta is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted ...

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PolyGloT: A personalized and gamified eTutoring system for learning modelling and programming skills.

• Authors : Bucchiarone, Antonio¹ (AUTHOR) ; Martorella, Tommaso² (AUTHOR); Frageri, Davide³ (AUTHOR)

Subjects: *INSTRUCTIONAL systems; *DIGITAL technology; *LEARNING

• Source: Science of Computer Programming. Jan2024, Vol. 231, pN.PAG-N.PAG. 1p.

• Abstract: The digital age is changing the role of educators and pushing for a paradigm shift in the education system. By formalizing ... Copyright of Science of Computer Programming is the property of Elsevier B.V. and its content may not be copied or emailed to multiple ...

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Named Entity Recognition and Classification in Historical Documents: A Survey.

• Authors : EHRMANN, MAUD¹ ; HAMDI, AHMED² ; LINHARES PONTES, ELVYS²

Subjects: *OPTICAL character recognition; *DEEP learning; *HISTORICAL source material

• Source: ACM Computing Surveys. Feb2024, Vol. 56 Issue 2, p1-47. 47p.

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