From Smart Camera to SmartHub: Embracing Cloud for Video Surveillance by Mukesh Kumar Saini, Pradeep K. Atrey, Abdulmotaleb El Saddik

“…Smart cameras were conceived to provide scalable solutions to automatic video analysis applications, such as surveillance and monitoring. Since then, many algorithms and system architectures have been proposed, which use smart cameras to distribute functionality and save bandwidth. …”
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Classification and risk assessment of ovarian-adnexal lesions using parametric and radiomic analysis of co-registered ultrasound-photoacoustic tomographic images by Yixiao Lin, Quing Zhu

“…Additionally, statistics-based radiomic algorithms were applied to quantify differences in the lesion texture on US-PAT images. …”
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Systematic Approach to Processing and Analysis Diagnostic Indicators of Electrocardiograms Based on Labview by M. T. Magrupova, Yo. T. Talatov

“…Despite the fact that there are many methods and algorithms for ECG analysis and processing, one of the urgent problems of cardiology remains to obtain the most complete information about heart electric potential, respectively, the behavior of the waves P, Q, R, S and T.Aim. …”
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Bridging the Gap Between Theory and Practice: Fitness Landscape Analysis of Real-World Problems with Nearest-Better Network by Yiya Diao, Changhe Li, Junchen Wang, Sanyou Zeng, Shengxiang Yang

“…A key challenge is that many real-world problems are black-box problems, making it difficult to identify their characteristics and, consequently, select the most effective algorithms to solve them. …”
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Microwave Sensors and Their Applications in Permittivity Measurement by Changjun Liu, Chongwei Liao, Yujie Peng, Weixin Zhang, Bo Wu, Peixiang Yang

“…With the alternation of metamaterials, microfluidics technologies, cross-technology, algorithms, and so on, sensors play an exceptionally prominent role in practical and low-cost applications.…”
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An invitation to the sample complexity of quantum hypothesis testing by Hao-Chung Cheng, Nilanjana Datta, Nana Liu, Theshani Nuradha, Robert Salzmann, Mark M. Wilde

“…The final part of our paper outlines and reviews how sample complexity of quantum hypothesis testing is relevant to a broad swathe of research areas and can enhance understanding of many fundamental concepts, including quantum algorithms for simulation and search, quantum learning and classification, and foundations of quantum mechanics. …”
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Phase Calibration of On-Chip Optical Phased Arrays via Interference Technique by Haiyang Zhang, Zixuan Zhang, Chao Peng, Weiwei Hu

“…The proposed method can be utilized as a supplement of conventional calibration algorithms to reduce requirements for the sensitivity of the feedback system and avoid local optima, thus providing practical assistance for many OPA applications.…”
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Methods and Strategies for Improving the Novel View Synthesis Quality of Neural Radiation Field by Shun Fang, Ming Cui, Xing Feng, Yanna Lv

“…In response to the problem that the rendering quality of NeRF images needs to be improved, many researchers have proposed various methods to improve the rendering quality in the past three years. …”
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IT Tools Used to Reduce the VAT Loophole– JPK_VAT, STIR, Split Payment Mechanism. by Adam Żabka, Beata Hoza

“…Tax leakage is a challenge for fiscal organs in many countries which make use of the Value Added Tax (VAT) in their tax system. …”
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Robust Cross-Validation of Predictive Models Used in Credit Default Risk by Jose Vicente Alonso, Lorenzo Escot

“…Model validation is a challenging Machine Learning task, usually more difficult for consumer credit default models because of the availability of small datasets, the modeling of low-frequency events (imbalanced data), and the bias in the explanatory variables induced by the train/test sets split of the validation techniques (covariate shift). While many methodologies have been developed, cross-validation is perhaps the most widely accepted, often being part of the model development process by optimizing the hyperparameters of predictive algorithms. …”
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Machine learning and partial differential equations: benchmark, simplify, and discover by Petros Koumoutsakos

“…Advances in numerical methods, algorithms, software, and hardware over the last 60 years have enabled simulation frontiers that were unimaginable a couple of decades ago. …”
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A Novel Approach to Efficiently Verify Sequential Consistency in Concurrent Programs by Mohammed H. Abdulwahhab, Parosh Aziz Abdulla, Karwan Jacksi

“…Corresponding read events are subsequently integrated according to program order once the validity of write events has been confirmed, enabling rapid identification of violations to SC criteria. Three algorithmic variants of this approach were developed and empirically evaluated. …”
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Using computational models of learning to advance cognitive behavioral therapy by Isabel M. Berwian, Peter Hitchock, Sashank Pisupati, Gila Schoen, Yael Niv

“…Abstract Many psychotherapy interventions have a large evidence base and can help a substantial number of people with symptoms of mental health conditions. …”
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A survey on surface reconstruction based on 3D Gaussian splatting by Zheng Xu, Gang Chen, Feng Li, Lingyu Chen, Yuanhang Cheng

“…With the emergence of advanced neural radiance fields (NeRFs) and 3D Gaussian splatting (3D GS), numerous innovative many novel algorithms for 3D model surface reconstruction have been developed. …”
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Gene Network Biological Validity Based on Gene-Gene Interaction Relevance by Francisco Gómez-Vela, Norberto Díaz-Díaz

“…In recent years, gene networks have become one of the most useful tools for modeling biological processes. Many inference gene network algorithms have been developed as techniques for extracting knowledge from gene expression data. …”
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Technology Policy Recommendations Using Artificial Intelligence by Ashita Anuga, Minh Nguyen, Dominick Perini, Andrei Svetovidov, Amanda Tolman, Qasim Wani, Feras A. Batarseh

“…Accordingly, our work proposes utilizing Artificial Intelligence (AI) algorithms to assess the impact of policy (state-level science and technology policies as an example). …”
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New Strategies Based on Hierarchical Matrices for Matrix Polynomial Evaluation in Exascale Computing Era by Luisa Carracciuolo, Valeria Mele

“…But, there are many obstacles to using the Exascale Computing Era sophisticated computing platforms effectively. …”
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Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions by Gundala Pallavi, Rangarajan Prasanna Kumar

“…The present comprehensive review analyses the potential of QNLP in influencing many branches of bioinformatics such as genomic sequence analysis, protein structure prediction, and drug discovery and design. …”
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EEG-Based Emotion Recognition Datasets for Virtual Environments: A Survey by Hussein Ali Hamzah, Kasim K. Abdalla

“…The proposed algorithms and models should be evaluated using data that include emotional ratings or labels. …”
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Cotton T-Shirt Size Estimation Using Convolutional Neural Network by John King D. Alfonso, Ckyle Joshua G. Casumpang, Jocelyn F. Villaverde

“…However, clothing size cannot be accurately estimated, particularly when buying shirts. Many shoppers provide size choices but with inaccurate fits. …”
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