A Collecting Collision Tree Protocol for RFID Tag Identification with Capture Effect by Yang Qing, Li Jiancheng, Wang Hongyi

“…Finally, various analysis and simulation results show that CCT outperforms the existing algorithms significantly.…”
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Investigating the dynamics and uncertainties in portfolio optimization using the Fourier-Millen transform. by Muhammad Hilal Alkhudaydi, Aiedh Mrisi Alharthi

“…Many investors and financial managers view portfolio optimisation as a critical step in the management and selection processes. …”
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Non-unitarity maximizing unraveling of open quantum dynamics by Ruben Daraban, Fabrizio Salas-Ramírez, Johannes Schachenmayer

“…The dynamics of many-body quantum states in open systems is commonly numerically simulated by unraveling the density matrix into pure-state trajectories. …”
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Fractal Cross-Layer Service with Integration and Interaction in Internet of Things by Bing Jia, Shuai Liu, Yongjian Yang

“…Many large-scale, ubiquitous, and heterogeneous services could be integrated in this platform. …”
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Retracted: A Novel Radio Frequency Identification Collision Resolution Method Based on Statistical Learning by Zhong Dongbo

“…Unlike traditional algorithms, the proposed method does not require prior knowledge of the number of clusters and does not need to constantly iterate. …”
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A Gaussian Process Latent Variable Model for Subspace Clustering by Shangfang Li

“…Effective feature representation is the key to success of machine learning applications. Recently, many feature learning models have been proposed. …”
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The Necessity for Information Space Mapping for Information Retrieval on the Semantic Web by Gregory B. Newby

“…When the match is less precise, sets of rules or algorithms may be employed to map between information spaces. …”
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Transforming health care with artificial intelligence: Regulations, challenges, and future directions by Jalees Razavi, Hamza O. Dhafar, Ahmed S. BaHammam

“…The integration of artificial intelligence (AI) into healthcare systems holds immense promise, greatly enhancing various aspects, including diagnostic imaging, personalized treatment, drug discovery, and handling electronic health records. Nevertheless, many challenges have been identified with AI’s integration in health care, including data privacy and security, algorithmic bias, and regulatory complexities. …”
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Teaching deep networks to see shape: Lessons from a simplified visual world. by Christian Jarvers, Heiko Neumann

“…We show that the bias can be explained by the interactions between the weight updates for many images in mini-batch gradient descent. This suggests that different learning algorithms with sparser, more local weight changes are required to make networks more sensitive to shape and improve their capability to describe human vision.…”
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A survey: Breast Cancer Classification by Using Machine Learning Techniques by Ruaa Hassan Mohammed Ameen, Nasseer Moyasser Basheer, Ahmed Khazal Younis

“…Using automated feature extraction and classification algorithms, physicians' experience in diagnosing and detecting breast cancer can be aided. …”
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Application of Brain-Computer Interfaces in Rehabilitation of Central Nervous System Disorders by GE Yi, ZHONG Ying, HONG Wenjun, XU Rong

“…However, the clinical application of BCI is still in the experimental stage and faces many challenges, such as the need to break through hardware bottlenecks and optimize algorithms at the technical level, and the need to promote large-scale clinical trials, establish a global ethical and regulatory framework, and cross-disciplinary collaboration at the clinical translation level.…”
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Uncertainty of Counterfactuals in Deep Learning by Katherine Elizabeth Brown, Doug Talbert, Steve Talbert

“…Counterfactuals provide various perturbations to a data instance to yield an alternate classification from a machine learning model. Several algorithms have been designed to generate counterfactuals using deep neural networks; however, despite their growing use in many mission-critical fields, there has been no investigation to date as to the epistemic uncertainty of generated counterfactuals. …”
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The State Preparation of Multivariate Normal Distributions using Tree Tensor Network by Hidetaka Manabe, Yuichi Sano

“…The quantum state preparation of probability distributions is an important subroutine for many quantum algorithms. When embedding $D$-dimensional multivariate probability distributions by discretizing each dimension into $2^n$ points, we need a state preparation circuit comprising a total of $nD$ qubits, which is often difficult to compile. …”
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Filter-enhanced adiabatic quantum computing on a digital quantum processor by Erenay Karacan, Conor Mc Keever, Michael Foss-Feig, David Hayes, Michael Lubasch

“…Eigenstate filters underpin near-optimal quantum algorithms for ground-state preparation. Their realization on current quantum computers, however, poses a challenge as the filters are typically represented by deep quantum circuits. …”
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The Evaluation of Music Teaching in Colleges and Universities Based on Machine Learning by Xia Xiongjun, Danmeng Lv

“…With the implementation of the strategic policy of rejuvenating the country through science and education, many innovative and practical teaching concepts and teaching models have been comprehensively developed. …”
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Early Prediction of Stroke Risk Using Machine Learning Approaches and Imbalanced Data by Hassan Qassim

“… Classifying medical datasets using machine learning algorithms could help physicians to provide accurate diagnosing and suitable treatment. …”
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Encoding and Decoding of Secret Messages Using Matrices by James, Niwagaba

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Computational methods for protein identification from mass spectrometry data. by Leo McHugh, Jonathan W Arthur

“…A solid knowledge of the range of algorithms available and, more critically, the accuracy and effectiveness of these techniques is essential to ensure as many of the proteins as possible, within any particular experiment, are correctly identified. …”
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SYSTEM ANALYSIS OF MAJOR TRENDS IN DEVELOPMENT OF ADAPTIVE TRAFFIC FLOW MANAGEMENT METHODS by A. N. Klimovich, V. N. Shuts

“…Adaptive algorithms, which current traffic systems are based on, exist for many decades. …”
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Housing Value Forecasting Based on Machine Learning Methods by Jingyi Mu, Fang Wu, Aihua Zhang

“…In the era of big data, many urgent issues to tackle in all walks of life all can be solved via big data technique. …”
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