Optimal Decisions for Prepositioning Emergency Supplies Problem with Type-2 Fuzzy Variables by Xuejie Bai

“…On the basis of formula obtained, we can convert original fuzzy prepositioning model into its equivalent parametric mixed integer programming form, which can be solved by conventional algorithms or general-purpose software. Finally, some numerical experiments have been performed to illustrate the effectiveness of the proposed model and solution strategy.…”
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On Training Spiking Neural Networks by Means of a Novel Quantum Inspired Machine Learning Method by Jean Michel Sellier, Alexandre Martini

“…The major reason for such a situation seems to be represented by the lack of adequate training algorithms for deep spiking neural networks, since spike signals are not differentiable, that is, no direct way to compute a gradient is provided. …”
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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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Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review by Hang Viet Dao, Binh Phuc Nguyen, Tung Thanh Nguyen, Hoa Ngoc Lam, Trang Thi Huyen Nguyen, Thao Thi Dang, Long Bao Hoang, Hung Quang Le, Long Van Dao

“…From 2019 to 2023, the European Society of Gastrointestinal Endoscopy has released multiple guidelines/consensus with recommendations on integrating AI for detecting and classifying lesions in practical endoscopy. In Vietnam, since 2019, several preliminary studies have been conducted to develop AI algorithms for GI endoscopy, focusing on lesion detection. …”
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Automatic Identification of Weave Patterns of Checked and Colored Fabrics Using Optical Coherence Tomography by Metin Sabuncu, Hakan Ozdemir, Mete U. Akdogan

“…For example, image processing algorithms are known to make errors when dealing with checked and colored fabrics. …”
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A Comprehensive Behavioral Dataset for the Abstraction and Reasoning Corpus by Solim LeGris, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis

“…Abstract The Abstraction and Reasoning Corpus (ARC) is a visual program synthesis benchmark designed to test out-of-distribution generalization in machines. Comparing AI algorithms to human performance is essential to measure progress on these problems. …”
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The Role of Artificial Intelligence in Enhancing Diabetic Retinopathy Lesion Detection: A Review by Lakshmi K Santhiya, Sargunam B

“…As part of future research, this review seeks to systematize the available algorithms for ease of use and guidance by researchers. …”
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Multi-level high utility-itemset hiding. by Loan T T Nguyen, Hoa Duong, An Mai, Bay Vo

“…The insights gained from higher abstraction levels are somewhat more valuable than those from lower levels since they contain the outlines of the data. To address this issue, this work suggests two PPUM algorithms, namely MLHProtector and FMLHProtector, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …”
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A Systematic Survey of Sparse Clustering by Josephine Bernadette M. Benjamin, Miin-Shen Yang

“…The advancement of computer technology has led to an exponential growth of accumulated information where storing and processing are to be carefully handled since not all information gathered is useful. Feature selection and feature reduction algorithms have been proposed to process the data. …”
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LDPC-coded unitary space-time modulation with low-complexity iterative demodulate-decoding scheme by Li-jiao WANG, Lin ZHANG, Ling-ling YANG, Li PENG, Da-wei FU

“…A practical low-density parity-check(LDPC) coded unitary space-time modulation (USTM) noncoherent MIMO communication system over Rayleigh flat fading and additive white Gaussian noise (AWGN) channel was con-structed, where the LDPC code is selected from IEEE 802.16e Standard and USTM is constructed by the unitary matrix based on the sinc-cosinc function, SC-USTM for short. At the receiver, the maximum a posteriori probability (MAP) de-modulating algorithm of the SC-USTM was first designed; for reducing the complexity of MAP demodulator, the dual demodulator was then conceived; for improving the performance, the iterative feedback between the belief propagation (BP) decoder and the MPA demodulator was finally introduced. …”
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Generalized Model of Hybrid ALOHA by Hasan Yarmohamadi, Hanif Mirhosseini, Mohammad Delfan

“…Since the genesis of layered network, designing a popper MAC control protocol was a major concern. …”
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An FPGA-Based Quantum Computing Emulation Framework Based on Serial-Parallel Architecture by Y. H. Lee, M. Khalil-Hani, M. N. Marsono

“…Quantum Fourier transform and Grover’s search are chosen as case studies in this work since they are the core of many useful quantum algorithms. …”
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Advancements in the use of AI in the diagnosis and management of inflammatory bowel disease by Dalia Braverman-Jaiven, Luigi Manfredi

“…To tackle this, more annotated colonoscopy images and videos will be required for the training of new and more reliable AI algorithms. This article discusses the current challenges in the early detection of IBD, focusing on the available AI algorithms, and databases, and the challenges ahead to improve the detection rate.…”
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Recommendation system for billing offers in retail business CRM of a lending agency by Alexander A. Kovalev, A.V. Mezhuev

“…The architecture and algorithms for developing of this system are proposed, taking into account the specifics of banking data and business processes. …”
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MALIGNANT NEOPLASMS IN CHILDREN: CLINICAL MANIFESTATIONS AND DIAGNOSIS by Maxim Yu. Rykov, Dmitrij D. Sevryukov, Alisa S. Vilkova

“…Treatment efficacy for children with cancer depends on the diagnosis timeliness since the earlier expert care has been started, the higher likelihood there is to achieve remission. …”
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The Implementation of BCTrustAI.SL into the Automated Practices of Digital Labour Platforms to Ensure Fairness, Transparency and Accountability by Şaban İbrahim Göksal, Kristi Joamets

“…This directive seeks to foster fairness, transparency, and accountability, establishing four key requirements in its algorithmic management chapter: transparency, human oversight, human review, rights to information and consultation. …”
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Czech political candidate and donation datasets by Lukáš Linek, Michael Škvrňák, Michal Šoltés, Vítězslav Titl

“…We match candidates over various elections by using algorithms that rely on their personal information. …”
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Early Heart Attack Detection Using Hybrid Deep Learning Techniques by Niga Amanj Hussain, Aree Ali Mohammed

“…These algorithms can process large datasets, extracting valuable insights that help mitigate the risk of fatal outcomes. …”
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Application of machine learning methods for automated detection of network intrusions by M. V. Babicheva, I. A. Tretyakov

“…Such systems should be based on machine learning algorithms and models that are able to identify complex dependencies between data in the learning process.Method. …”
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Soft Schemes for Earthquake-Geotechnical Dilemmas by Silvia García

“…Considering the strengths and weaknesses of the algorithms, in this work a criterion to leverage the best features to develop efficient hybrid models is presented. …”
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