Comparative analysis of manual and programmed annotations for crowd assessment and classification using artificial intelligence by Amrish Thakur, Shwetank Arya

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Advancing non-target analysis of emerging environmental contaminants with machine learning: Current status and future implications by Alexa Canchola, Lillian N. Tran, Wonsik Woo, Linhui Tian, Ying-Hsuan Lin, Wei-Chun Chou

“…However, interpreting the vast datasets generated by HRMS is complex and requires advanced data processing techniques. Recent advancements in machine learning (ML) models offer great potential for enhancing NTA applications. …”
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Parameter Design and Performance Optimization of Aerostatic Bearing by YANG Chunmei, CAO Bingzhang

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Adaptive high frequency data streaming for Soft Real-Time Industrial AI: A scalable microservices based architecture with dynamic downsampling by Telmo Fernández De Barrena, Alcides Fernandes, Juan Luis Ferrando, Ander García, Hugo Landaluce, Ignacio Angulo

“…The rapid adoption of Internet of Things (IoT) devices and Edge computing has increased the demand for efficient processing of high-frequency sensor data. …”
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QPSO-Based Adaptive DNA Computing Algorithm by Mehmet Karakose, Ugur Cigdem

“…DNA (deoxyribonucleic acid) computing that is a new computation model based on DNA molecules for information storage has been increasingly used for optimization and data analysis in recent years. …”
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BananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in BangladeshMendeley Data by Md Hasanul Ferdaus, Rizvee Hassan Prito, Ahmed Abdal Shafi Rasel, Masud Ahmed, Md. Jahid Hassan Saykot, Shanjida Sultan Shanta, Sonali Akter, Ankan Chandra Das, Mohammad Manzurul Islam, Mahamudul Hasan, Md Sawkat Ali

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On-Chip Reconfigurable Hardware Accelerators for Popcount Computations by Valery Sklyarov, Iouliia Skliarova, João Silva

“…Popcount computations are widely used in such areas as combinatorial search, data processing, statistical analysis, and bio- and chemical informatics. …”
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Analysis of Void Fraction Distribution and Departure from Nucleate Boiling in Single Subchannel and Bundle Geometries Using Subchannel, System, and Computational Fluid Dynamics Cod... by Taewan Kim, Victor Petrov, Annalisa Manera, Simon Lo

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Flowering Intensity Estimation Using Computer Vision by Sergejs Kodors, Imants Zarembo, Ilmars Apeinans, Edgars Rubauskis, Lienite Litavniece

“…The comparison was completed using data analysis and the MobileNetV2 classifier as an evaluation model. …”
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StarNet: Indian star gooseberries dataset for quality and maturity assessment(Mendeley Data). by Pushpa B․ R․, Manohar N․, N. Shobha Rani

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Reducing under-five mortality in Tanzania: insights from a 60-years data analysis on economic and health indicators by Mohamed K. Mwanga, Silas Mirau, Jean M. Tchuenche, Isambi S. Mbalawata

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Investigating Data Risk Considerations in Emergent Cyber Physical Production Systems by Gerard Ward, Lech Janczewski

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Utilization of Palm Frond Waste as Fuel for Co-Firing Coal and Biomass in a Tangentially Pulverized Coal Boiler Using Computational Fluid Dynamic Analysis by Sobar Ihsan, Prabowo, Wawan Aries Widodo, I Nyoman Agus Adi Saputra, Hariana

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Computationally secure steganography based on speech synthesis by Menghan LI, Kejiang CHEN, Weiming ZHANG, Nenghai YU

“…The steganography theory of computing security has been proposed for a long time, but it has not been widely adopted for mainstream steganography using multimedia data as a carrier.The reason is that the prerequisite for calculating secure steganography is to obtain the accurate distribution of the carrier or to accurately sample according to the carrier distribution.However, naturally collected images and audio/video cannot meet this prerequisite.With the development of deep learning technology, various machine-generated media such as image generation and synthesized speech, have become more and more common on the Internet and then generated media has become a reasonable steganography carrier.Steganography can use normal generated media to cover up secret communications, and pursue in distinguishability from normal generated media.The distribution learned by some generative models is known or controllable, which provides an opportunity to push computational security steganography for practical use.Taking the widely used synthetic speech model as an example, a computationally secure symmetric key steganography algorithm was designed and implemented.The message was decompressed into the synthetic audio according to the decoding process of arithmetic coding based on the conditional probability of sample points, and the message receiver had the same generation model to complete the message extraction by reproducing the audio synthesis process.The public key steganography algorithm was additionally designed based on this algorithm, which provided algorithmic support for the realization of full-flow steganographic communication.Steganographic key exchange ensured the security of steganographic content and the security of steganographic behavior was also achieved.The theoretical analysis showed that the security of the proposed algorithm is determined by the randomness of the embedded message.And the steganography analysis experiment further verified that the attacker cannot distinguish the synthesized carrier audio from the encrypted audio.…”
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Exploring postoperative nasal airflow dynamics and impact on crust formation and mucosal healing after endoscopic tumor resection using computational fluid dynamics analysis. by Yang Na, Minhae Park, Yong Gi Jung

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Evaluating Directed Acyclic Graphs with DAGMetrics: Insights from Tuber and Soil Microbiome Data by Pavel Averin, Ifigeneia Mellidou, Maria Ganopoulou, Aliki Xanthopoulou, Theodoros Moysiadis

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Long-Term Engagement of Diverse Study Cohorts in Decentralized Research: Longitudinal Analysis of “All of Us” Research Program Data by Vijay Yadav, Elias Chaibub Neto, Megan Doerr, Abhishek Pratap, Larsson Omberg

“…MethodsWe conducted a longitudinal analysis of the AoURP data, tracking changes in demographic composition, completion rates, and completion times for surveys and substudies. …”
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Experimental and Computational Fluid Dynamics Simulation Study on the Performance of a Two-stroke Aviation Engine: A Comparative Analysis of Turbulence Models and Mesh Strategies by G. Coskun, Y. Delil, U. Demir

“…This study presents an experimental and computational fluid dynamics (CFD) analysis to evaluate the performance of a two-stroke aviation engine under constant operating conditions. …”
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The Opportunities and Challenges in Integrating AI with Quantum Computing by Tomasz Słapczyński, Marlena Stradomska

“…This analysis reveals significant opportunities in areas like accelerated machine learning, tackling intractable problems, and processing quantum data. …”
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Death by Data by Andrew Fitzgerald

“… Computational state violence has developed through the broader political economy of datafication, where increasing dimensions of life are “made productive” via the intensification of enclosure, data capture, and analysis for recursive operationalization. …”
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