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Articles 1411 - 1440 of 39874
Full-Text Articles in Entire DC Network
Failure To Appear In Procedural Courts In The Ecuadorian Oral System: Analysis Of Its Legal Implications Through Multineutrosophic Modeling, Klever Israel Llerena Villacrés, Alex Santiago Páez Maldonado, Leonardo Mario Falconí Cárdenas
Failure To Appear In Procedural Courts In The Ecuadorian Oral System: Analysis Of Its Legal Implications Through Multineutrosophic Modeling, Klever Israel Llerena Villacrés, Alex Santiago Páez Maldonado, Leonardo Mario Falconí Cárdenas
Neutrosophic Sets and Systems
This study intends to analyze the impact of not appearing as a legal consequence of the Ecuadorian oral system; in what way does it violate rights of the parties and the possibility of effective judicial protection? The study was developed through a mixed methodology, bibliographic-documentary design and empirical field study. Ultimately, Multineutrosophic modeling was used to limit uncertainty brought forth by establishing not appearing as a condition with lawyer presence, granted extensions or not, socioeconomic problems, etc., through a triangulation of findings from regulatory sources like the General Organic Code of Procedures (COGEP) and professionalizing interviews with judicial actors. The …
Hyperbolic Geometry And Neutrosophic Trigonometry: A Unified Approach To Uncertainty Management In Geometric Spaces, Yismandry González Vargas, Diana Padrón Carrasco
Hyperbolic Geometry And Neutrosophic Trigonometry: A Unified Approach To Uncertainty Management In Geometric Spaces, Yismandry González Vargas, Diana Padrón Carrasco
Neutrosophic Sets and Systems
This paper addresses the challenge of modeling uncertainty in hyperbolic geometry, where non-Euclidean properties, such as angle sums in triangles smaller than 180°, complicate traditional trigonometric calculations. The relevance of this topic lies in its application in fields such as cosmology, robotics, and signal processing, where curved spaces and imprecision are common. Although the literature has explored fuzzy geometry and trigonometry under uncertainty, it lacks a framework that integrates negative curvature with explicit indeterminacy. To overcome this gap, a methodology is proposed that combines hyperbolic geometry with neutrosophic trigonometry, using neutrosophic sets (T, I, F) to represent angles and calculate …
Scholarai Scholarly Article Search Strategies With The Ayni Method Multi-Neutrosophic For Ethical Information Management In Ai, Ennio Jesús Mérida Córdova, Elizabeth Esther Vergel Parejo, Raúl López Fernández
Scholarai Scholarly Article Search Strategies With The Ayni Method Multi-Neutrosophic For Ethical Information Management In Ai, Ennio Jesús Mérida Córdova, Elizabeth Esther Vergel Parejo, Raúl López Fernández
Neutrosophic Sets and Systems
In a digital world where scientific articles are published at an unprecedented rate, an additional step in the research process to facilitate discovery is an effective search and filtering for worthwhile articles. Thus, this study aims to solve the following research problem: how to search for scientific articles using artificial intelligence (AI) while applying ethical considerations and ancestral knowledge? The topical relevance is that as AI is a great vessel to seek potentially accessible knowledge, searches can be guaranteed through accuracy, inclusivity, and ethics. While many studies exist on the topic of AI related to searching, few, if any, extend …
Faim: Fuzzy‑Neutrosophic Academic Integrity Model For University Students, Elsy Rodriguez Revelo, Lorenzo Cevallos Torres
Faim: Fuzzy‑Neutrosophic Academic Integrity Model For University Students, Elsy Rodriguez Revelo, Lorenzo Cevallos Torres
Neutrosophic Sets and Systems
The FAIM (Fuzzy-Neutrosophic Academic Integrity Model) is a novel approach developed to assess academic integrity among university students under conditions of uncertainty. This model emerged as a response to the challenges posed by the sudden shift from face-to-face to virtual education during the COVID-19 pandemic. This environment saw a notable increase in dishonest academic behavior. FAIM integrates fuzzy logic and neutrosophic reasoning to capture the complexity and indeterminacy of students’ conduct. Key variables associated with academic dishonesty—motivation, justification, and opportunities—were examined across three simulated scenarios. The results validated FAIM’s capacity to differentiate integrity levels within the student population effectively. Unlike …
Perceptions Of Inclusion In Disability Communication With Plithogenic Fuzzy Soft Sets, Sonia Guerra Iglesias, Andrea Eugenia Pacheco Lemus, Vallardo Villegas-Ricauter, Lorena Del Carmen Bodero Arizaga, Luis Enrique Silva Adriano
Perceptions Of Inclusion In Disability Communication With Plithogenic Fuzzy Soft Sets, Sonia Guerra Iglesias, Andrea Eugenia Pacheco Lemus, Vallardo Villegas-Ricauter, Lorena Del Carmen Bodero Arizaga, Luis Enrique Silva Adriano
Neutrosophic Sets and Systems
This article explores how scientific communication with disability can foster social inclusion through an awareness of the challenge of conveying ambiguous perceptions across fields. This is a timely topic because inclusive communication facilitates equity and subsequent participation in academic and socio-cultural settings by persons with disabilities; however, the existing body of literature does not take an approach that represents an intrinsic indeterminacy of human perceptions. Absent this intrinsic human quality, research results oversimplify abilities and failures to include persons with disabilities. My approach fulfills this gap by using plitogenic fuzzy soft sets, which is a more generalized mathematical construct to …
Neutrosophic Sets And Systems, Vol. 92, 2025, Florentin Smarandache, Maikel Yelandi Leyva, Mohamed Abdel‑Basset
Neutrosophic Sets And Systems, Vol. 92, 2025, Florentin Smarandache, Maikel Yelandi Leyva, Mohamed Abdel‑Basset
Neutrosophic Sets and Systems
No abstract provided.
Patterns Of Llm Weaponization: A Comparative Analysis Of Exploitation Incidents Across Commercial Ai Systems, George Antoniou
Patterns Of Llm Weaponization: A Comparative Analysis Of Exploitation Incidents Across Commercial Ai Systems, George Antoniou
Faculty and Staff Publications & Presentations
This comparative study examines patterns of Large Language Model (LLM) weaponization through systematic analysis of four major exploitation incidents spanning 2023-2025. While existing research focuses on isolated incidents or theoretical vulnerabilities, this study provides the first comprehensive comparative framework analyzing exploitation patterns across state-sponsored cyber-espionage (Anthropic Claude incident), academic security research (GPT-4 autonomous privilege escalation), social engineering platforms (SpearBot phishing framework), and underground criminal commoditization (WormGPT/FraudGPT ecosystem). Through comparative analysis across eight dimensions—adversary sophistication, target selection, exploitation techniques, autonomy levels, detection evasion, attribution challenges, defensive gaps, and capability democratization—this research identifies critical cross-case patterns informing defensive prioritization. Findings reveal three …
Puf-Based Digital Money With Propagation-Of-Provenance And Offline Transfers Between Two Parties, Benjamin Bean, Cyrus Minwalla, Eirini Eleni Tsiropoulou, Jim Plusquellic
Puf-Based Digital Money With Propagation-Of-Provenance And Offline Transfers Between Two Parties, Benjamin Bean, Cyrus Minwalla, Eirini Eleni Tsiropoulou, Jim Plusquellic
Electrical and Computer Engineering ETDs
Building on prior concepts of electronic money (eCash), we introduce a digital currency where a physical unclonable function (PUF) engenders devices with the twin properties of being verifiably enrolled as a member of a legitimate set of eCash devices and possessing of a hardware-based root-of-trust. A hardware-obfuscated secure enclave (HOSE) is proposed as a means of enabling a PUF-based propagation-of-provenance (POP) mechanism, which allows eCash tokens (eCt) to be securely signed and validated by recipients without incurring any third party dependencies at transfer time. The POP scheme establishes a chain of custody starting with token creation, extending through multiple bilateral …
Methylation-Based Signature To Distinguish Indolent And Aggressive Prostate Cancer, Muheng Liao, Jace Webster, Amy Ly, Emily Rozycki, Christopher A Maher
Methylation-Based Signature To Distinguish Indolent And Aggressive Prostate Cancer, Muheng Liao, Jace Webster, Amy Ly, Emily Rozycki, Christopher A Maher
2020-Current year OA Pubs
Prostate cancer management faces significant challenges in distinguishing indolent from aggressive disease, particularly since most patients are intermediate-risk and therefore hinders the ability to recommend standardized treatment recommendations. Moreover, current prognostic tools including Gleason scoring and tumor staging demonstrate limited accuracy for predicting disease progression and tumor recurrence. DNA methylation serves as a stable epigenetic modification that directly regulates gene expression, making it an ideal biomarker for cancer prognosis. Therefore, this study leveraged whole-genome enzymatic methylation sequencing on 120 patients to develop a novel prognostic signature for aggressive prostate cancer progression. We analyzed 20,849 differentially methylated regions (DMRs) and employed …
Gpu-Accelerated Effective Hamiltonian Calculator, Abhishek Chakraborty, Taylor L. Patti, Brucek Khailany, Andrew N. Jordan, Anima Anandkumar
Gpu-Accelerated Effective Hamiltonian Calculator, Abhishek Chakraborty, Taylor L. Patti, Brucek Khailany, Andrew N. Jordan, Anima Anandkumar
Mathematics, Physics, and Computer Science Faculty Articles and Research
Effective Hamiltonian calculations for large quantum systems can be both analytically intractable and numerically expensive using standard techniques. In this manuscript, we present numerical techniques inspired by Nonperturbative Analytical Diagonalization (NPAD) and the Magnus expansion for the efficient calculation of effective Hamiltonians. While these tools are appropriate for a wide array of applications, we here demonstrate their utility for models that can be realized in circuit-QED settings. Our numerical techniques are available as an opensource Python package, qCHeff, which is available on GitHub (https://github.com/ NVlabs/qCHeff) and PyPI (https://pypi.org/ project/qcheff/). We use the CuPy library for GPU-acceleration …
Early Pottery At 11,200 Years Ago In The Southern Mongolian Plateau, Xiangge Zhang, Xujiao Zhang, Haoyue Zhang, Martin Stokes, Zhihu Sun, Jingwen Xu, Yifin Wang, Junlei Li, Haoshu Rao, Long Deng, Jingmin Guo, Xin Jia
Early Pottery At 11,200 Years Ago In The Southern Mongolian Plateau, Xiangge Zhang, Xujiao Zhang, Haoyue Zhang, Martin Stokes, Zhihu Sun, Jingwen Xu, Yifin Wang, Junlei Li, Haoshu Rao, Long Deng, Jingmin Guo, Xin Jia
School of Geography, Earth and Environmental Sciences
he invention of pottery played a crucial role in human history, promoting human settlement and the transition to an agricultural society [1,2]. Pottery first emerged in East Asia during the Late Pleistocene/Paleolithic across a diverse range of environmental settings, becoming more widespread with the climatic warming of the Holocene/Neolithic [3]. The relatively cold Mongolian Plateau was a key region for early human adaptation. Here, numerous archaeological sites have been discovered since the Upper Palaeolithic, including the earliest pottery sites dating back to approximately 12,000 years ago in the northern areas [4,5]. However, no pottery sites predating 10,000 cal a BP …
A Less Than Ideal Journey: The Introduction Of Commercial Smart Card Ticketing For Local Bus Services In England, Jon Shaw, Iain Docherty, Andrew Seedhouse, Alison Rumbles
A Less Than Ideal Journey: The Introduction Of Commercial Smart Card Ticketing For Local Bus Services In England, Jon Shaw, Iain Docherty, Andrew Seedhouse, Alison Rumbles
School of Geography, Earth and Environmental Sciences
Purpose: In the broader context of the pursuit of a more sustainable transport policy in the United Kingdom, the paper explores issues that emerged during the instigation, development and implementation of national smart ticketing policy for England.Design/methodology/approach: The primary empirical information in this paper was derived from 51 semi-structured interviews with 61 key stakeholders in the process of developing and implementing smart ticketing policy. Participants were identified through a purposive sampling approach designed to engage respondents because of the position they occupy and the quality of information they can provide.Findings: Difficulties emerged in the partnership approach to policy delivery made …
A Microstructural Signature Of The Coesite-Quartz Transformation: New Insights From High-Pressure Experiments And Ebsd, Rellie M. Goddard, Andrew J. Cross, Geoffrey E. Lloyd, Thomas Breithaupt, Kathryn M. Kumamoto, Brendan V. Dyck, Haiyan Chen, Andrew Parsons, Anna K. Bidgood
A Microstructural Signature Of The Coesite-Quartz Transformation: New Insights From High-Pressure Experiments And Ebsd, Rellie M. Goddard, Andrew J. Cross, Geoffrey E. Lloyd, Thomas Breithaupt, Kathryn M. Kumamoto, Brendan V. Dyck, Haiyan Chen, Andrew Parsons, Anna K. Bidgood
School of Geography, Earth and Environmental Sciences
Ultra-high pressure (UHP) metamorphism is difficult to identify in continental crust as few petrological barometers are suitable for dominantly felsic lithologies. In such cases, burial to extreme depths is commonly identified through the preservation of coesite, a high-pressure polymorph of SiO 2 that typically forms at depths exceeding ∼ 100 km (i.e., > 2 GPa pressure). Unfortunately, coesite readily transforms to quartz upon exhumation, meaning that UHP terranes may often be overlooked. While some studies have suggested that quartz may inherit an orientation signature indicative of former coesite, both the specific nature of this signature and the conditions favouring its development …
The Evolution Of Southern Ocean Net Primary Production In A Changing Climate: Challenges And Opportunities, Alessandro Tagliabue, Thomas Ryan-Keogh, Alex Baker, Thomas S. Bibby, Chris Follett, Maeve C. Lohan, Alberto Naveira-Garabato, Daniel J. Mayor, Angela Milne, C. Mark Moore, Simon Ussher
The Evolution Of Southern Ocean Net Primary Production In A Changing Climate: Challenges And Opportunities, Alessandro Tagliabue, Thomas Ryan-Keogh, Alex Baker, Thomas S. Bibby, Chris Follett, Maeve C. Lohan, Alberto Naveira-Garabato, Daniel J. Mayor, Angela Milne, C. Mark Moore, Simon Ussher
School of Geography, Earth and Environmental Sciences
Net primary production in the Southern Ocean plays a critical role in governing ecosystem production, the biological carbon pump, and global biogeochemical cycles. Recent work has advanced our understanding of novel factors regulating Southern Ocean net primary production and the regional physiological adaptations employed by Southern Ocean phytoplankton in terms of their photosynthetic strategies and resource acquisition. Here we assess trends in Southern Ocean net primary production from different remote sensing algorithms and bgc-Argo floats to compare them to the latest Earth System Models used to forecast future changes under three different future climate scenarios. Overall, remote sensing and bgc-Argo …
Exploring The Impact Of Gamification On Employee Training And Development: A Comprehensive Literature Review, Samuel Ojobo Uwakwe Udeh, Ayman Tobail, John Crowe, Wael Rashwan
Exploring The Impact Of Gamification On Employee Training And Development: A Comprehensive Literature Review, Samuel Ojobo Uwakwe Udeh, Ayman Tobail, John Crowe, Wael Rashwan
Research Outputs: 2025-Present
Purpose – The primary purpose of this study is to explore and critically evaluate existing research on the application of gamification in employee training and development. By synthesising current empirical and theoretical evidence, the review seeks to understand how gamification influences learner motivation, engagement, knowledge retention and overall organisational performance. Design/methodology/approach – A systematic methodological review was conducted, drawing on 49 empirical studies published between 2014 and 2024, supplemented by 19 foundational works for theoretical grounding. Searches were carried out in Web of Science, Scopus and Google Scholar using structured keywords. Inclusion criteria required a workplace focus, empirical methodology and …
The Tax Adviser, Volume 3, Number 11, November 1972, American Institute Of Certified Public Accountants
The Tax Adviser, Volume 3, Number 11, November 1972, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
Some Practical Applications Of The New Disc Provisions (Part Ii) In, Walter A. Slowinski
Some Practical Applications Of The New Disc Provisions (Part Ii) In, Walter A. Slowinski
Tax Adviser
No abstract provided.
The Impact Of Screen Time Patterns On Digital Behaviour And Productivity: A Data Analytics Study Across Age Groups, Maytha Alshamsi
The Impact Of Screen Time Patterns On Digital Behaviour And Productivity: A Data Analytics Study Across Age Groups, Maytha Alshamsi
Theses
The increasing incidence of screen time of all ages has generated a greater interest in the effect of screens on the human psyche. This paper looks at behavioural data of 2, 000 individuals aged 13-64 to investigate the predictability of a composite mental- health score by various modalities of screen-time, lifestyle and psychological charac- teristics. We determine, based on exploratory statistics, multivariate regression and su- pervised machine-learned models, that in as much as the influence of total screen time and social-media consumption has significant relationships with worse mental health, the effects are small when juxtaposed to those of lifestyle and …
Investigating Ionic Liquid (Il)-Based Electrolytes In Li-Co2 Battery Performance, Kaden T. Gammon
Investigating Ionic Liquid (Il)-Based Electrolytes In Li-Co2 Battery Performance, Kaden T. Gammon
Mechanical Engineering and Materials Science Independent Study
This report discusses the results of an independent study that investigates the impact of ionic-liquid (IL) based electrolytes on Li-CO₂ battery performance. Three electrolytes were compared in this study at two temperatures: room temperature and 60 °C. The electrolytes tested were BMIM-DMSO (an IL-based electrolyte), TEGDME, and DMSO. The results indicate that the IL-based electrolyte enables better electrochemical reactions and achieves a higher discharge capacity than the other two electrolytes. This study also compared cathodes with different catalysts, emphasizing the importance of catalyst choice. The comparison showed that bismuth oxide combined with Vulcan carbon may serve as a strong catalyst …
A Multi-Factor Quantum-Resistant And Privacy-Preserving Authentication Protocol For Decentralized Systems, Ahmed Kh. Zamil, Ammar D. Jasim
A Multi-Factor Quantum-Resistant And Privacy-Preserving Authentication Protocol For Decentralized Systems, Ahmed Kh. Zamil, Ammar D. Jasim
Mesopotamian Journal of CyberSecurity
This paper presents a Quantum-Resistant and Privacy-Preserving Authentication Protocol (PPAP) designed for decentralized systems. PPAP integrates lattice-based cryptographic primitives, particularly Module-Lattice Key Encapsulation Mechanisms (ML-KEM), addressing both quantum computing threats and stringent privacy requirements. The protocol introduces advanced identity masking techniques and a multi-factor authentication layer employing Cheon-Kim-Kim-Song (CKKS) homomorphic encryption, enabling secure and privacy-aware authentication that supports approximate knowledge-based factors such as biometrics and handwritten signatures. Rigorous formal analysis, including cryptographic proofs and automated verification using the Tamarin Prover, validates PPAP's resilience against classical and quantum adversaries, as well as common security threats such as replay attacks, impersonation, and …
Content Aware Intra And Inter Prediction Using Texture And Motion Analysis, Yashaswi Karthik Reddy Danda
Content Aware Intra And Inter Prediction Using Texture And Motion Analysis, Yashaswi Karthik Reddy Danda
Theses
Modern video codecs rely on highly optimized block based intra and inter prediction frameworks, in which block partitioning is determined through exhaustive rate distortion optimization (RDO) searches. These exhaustive searches evaluate many possible block configurations to identify the partitioning that minimizes overall rate distortion cost, and they have proven extremely effective across diverse visual content. This thesis explores a complementary perspective by investigating whether block partitioning can be guided more directly by content characteristics specifically, texture complexity for intra prediction and motion complexity or motion density for inter prediction. For intra prediction, we introduce a texture adaptive approach that utilizes …
Effects Of Supplemental Led Lighting And Biofertilizer On Yield And Fruit Quality Of Japanese Strawberry Cultivars In Indonesia, Reginawanti Hindersah, Febby Fitriyani, Kenji Endo, Masakazu Nakayama, Syariful Mubarok, Gita Bina Nugraha
Effects Of Supplemental Led Lighting And Biofertilizer On Yield And Fruit Quality Of Japanese Strawberry Cultivars In Indonesia, Reginawanti Hindersah, Febby Fitriyani, Kenji Endo, Masakazu Nakayama, Syariful Mubarok, Gita Bina Nugraha
Jurnal Kultivasi
Growing strawberries in soilless substrates in the greenhouse relies on fertilizers and supplemental light to boost yield and fruit quality. The research evaluated the properties of the biofertilizer and its effectiveness on the yield of Japanese strawberry cultivars Nanatsuboshi and KS-75 under controlled greenhouse conditions, with and without light-emitting diodes (LED) as supplemental light. The cell viability and plant-growth-promoting properties of a liquid consortium biofertilizer consisting of nitrogen-fixing bacteria and phosphate-solubilizing microbes, were characterized. Laboratory analysis confirmed the biofertilizer's composition, and a greenhouse experiment using a completely randomized design tested treatments of biofertilizer, LED, and their combination. The biofertilizer contained …
Enhancing Advanced Persistent Threat Detection With Federated Learning And Neural Networks For Secure Cloud Computer Environment, Baydaa Flayyih Hasan, Wafaa Ayoub Kassara, Bushra Raad Zahi
Enhancing Advanced Persistent Threat Detection With Federated Learning And Neural Networks For Secure Cloud Computer Environment, Baydaa Flayyih Hasan, Wafaa Ayoub Kassara, Bushra Raad Zahi
Mesopotamian Journal of CyberSecurity
Rapid internet expansion and global cloud storage use have heightened the risk of stealthy, persistent, multi-stage Advanced Persistent Threats (APTs). Distributed and resource-limited cloud environments make identifying these stealthy and dynamic threats difficult for traditional Intrusion Detection Systems (IDSs). This paper present FedNN-APT, a Federated Learning (FL) and hybrid Neural Network (NN) APT detection system to overcome these difficulties. High detection accuracy and distributed, privacy-preserving training over several cloud devices are achieved by this approach. FedNN-APT integrates Gated Recurrent Units (GRUs) and Convolutional Neural Networks (CNNs) to learn temporal and spatial APT behavior features effectively. The framework trains local models …
A Novel Of Bounded Zeghdoudi Distribution: Estimations, Simulation And Applications, Mohammed Elgarhy, Hanene Hamdani, Laxmi Prasad Sapkota, Ahmed M. Gemeay
A Novel Of Bounded Zeghdoudi Distribution: Estimations, Simulation And Applications, Mohammed Elgarhy, Hanene Hamdani, Laxmi Prasad Sapkota, Ahmed M. Gemeay
Mesopotamian Journal of CyberSecurity
In this article, we introduce a new unit Zeghoudi distribution, which is called the bounded Zeghoudi distribution (BZD), an innovative modification of the Zeghoudi distribution (ZD). This new suggested distribution retains the original ZD’s simplicity while improving modeling flexibility and accuracy for data constrained to the unit interval. The BZD displays numerous significant characteristics, including decreased, left-skewed, right-skewed, and unimodal probability density functions, but the hazard rate function can be J-shaped, U-shaped, and bathtub-shaped. Some important statistical features of the BZD, such as moments, mean, variance, moment generating function, lower and upper incomplete moments, mean residual life, mean inactivity time, …
Zasada Minimalizacji A Zakres Wymiany Danych Ubezpieczeniowych Klienta W Projekcie Rozporządzenia W Sprawie Ram Dostępu Do Danych Finansowych (Fida), Bartosz Bigaj
internetowy Kwartalnik Antymonopolowy i Regulacyjny (internet Quarterly on Antitrust and Regulation)
The purpose of the article is to critically assess the provisions on the scope of customer financial data exchange contained in the draft Financial Data Access Framework Regulation (FIDA) published by the EC on June 28, 2023, in the context of the principle of minimalism regulated by the GDPR Regulation. The author focuses on the potential benefits and risks of sharing customer information in the insurance market, including consumers in particular. The article provides a general analysis of the concepts of “open finance,” “open banking” and “open insurance,” as well as the principle of data minimalism from the RODO. Due …
Powering Up Clinical Practice: Mastering Clinical Literature Search Techniques In Embase For Pediatric Hospital Medicine Fellows, Evelyn Wang
HSLIC Faculty and Staff Instructional Resources
This didactic EMBASE session for Pediatric Hospital Medicine (PHM) fellows demonstrates how to translate pediatric clinical questions into EMBASE search strategies. It use of keywords and Emtree, proximity and Boolean operators, PV Wizard, device and drug searches, and workflows for organizing results to support clinical decision‑making
The Tax Adviser, Volume 3, Number 7, July 1972, American Institute Of Certified Public Accountants
The Tax Adviser, Volume 3, Number 7, July 1972, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
Capital As A Material Income-Producing Factor For Purposes Of The Maximum Tax, W. E. Seago
Capital As A Material Income-Producing Factor For Purposes Of The Maximum Tax, W. E. Seago
Tax Adviser
No abstract provided.
Some Practical Applications Of The New Disc Provisions, Walter A. Slowinski
Some Practical Applications Of The New Disc Provisions, Walter A. Slowinski
Tax Adviser
No abstract provided.
Application Of Adversarial Volumetric Cnns To 3d Face Generation Using Latent Space Gaussian Embeddings, Ali Raad Abdulkareem, Marwa Jabberi, Islem Jarraya, Tarek M. Hamdani, Khmaies Ouahada, Adel M. Alimi
Application Of Adversarial Volumetric Cnns To 3d Face Generation Using Latent Space Gaussian Embeddings, Ali Raad Abdulkareem, Marwa Jabberi, Islem Jarraya, Tarek M. Hamdani, Khmaies Ouahada, Adel M. Alimi
Iraqi Journal for Computer Science and Mathematics
Although 3D face generation is extensively studied in computer vision, most existing methods prioritize reconstructing 3D geometry from available 2D or 3D inputs rather than generating novel faces directly from latent representations. To bridge this gap, we present the application of Adversarial Volumetric Convolutional Neural Networks (AVCNN), a tailored adaptation of the vanilla 3D Generative Adversarial Network (3D-GAN), to 3D face generation using latent space Gaussian embeddings. We first assemble a custom 3D facial dataset to provide the requisite facial characteristics and to ensure sufficient coverage of geometric variation across identities. The generator, implemented as a decoder, maps latent space …