Tumor Area Positivity (TAP) score of programmed death-ligand 1 (PD-L1): a novel visual estimation method for combined tumor cell and immune cell scoring by Chunyan Liu, Fang Fang, Ying Kong, Ehab A. ElGabry

“…PD-L1 manual scoring algorithms can generally be divided into two categories: cell counting and visual estimation. …”
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Adaptive neuro fuzzy inference system based multicrop yield prediction in the semi arid region of India by Kalpesh Borse, P. G. Agnihotri, Muralitharan Jothimani, Romesh Kumar Jena

“…In this regard, modern artificial intelligence algorithms have shown to be handy tools for accurately predicting agricultural production. …”
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CPR-Induced Consciousness during Ventricular Fibrillation: Case Report and Literature Review by Xiaoqing Zhou, Boru Sun

“…It is crucial to develop clear algorithms that focus not only on identifying this phenomenon but also on determining the best approaches to manage it. …”
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Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia by Agnieszka Potasiewicz, Zuzanna Mincikiewicz, Piotr Popik, Agnieszka Nikiforuk

“…Maternal potentiation was weak or absent in MAM pups, which also exhibited lower call complexity (reduced bandwidth and frequency) and longer duration. …”
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Utilizing Artificial Intelligence for Microbiome Decision-Making: Autism Spectrum Disorder in Children from Bosnia and Herzegovina by Džana Bašić-Čičak, Jasminka Hasić Telalović, Lejla Pašić

“…The Random Forest model also performed well (78%) with KEGG pathways. When tested on an independent dataset, the model maintained high accuracy (79%), confirming its generalizability. …”
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Hyperspectral imagery quality assessment and band reconstruction using the prophet model by Ping Ma, Jinchang Ren, Zhi Gao, Yinhe Li, Rongjun Chen

“…The authors’ experiments also delve into strategies for band selection based on quality metrics and the quality evaluation of the reconstructed bands. …”
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Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

“…User-generated content, such as reviews and travel photos shared on social media, also plays a crucial role in influencing travel decisions. …”
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A digital intelligence visualization health monitoring device for Alzheimer’s disease patients based on WBAN technology by Minghong Zheng, Yi Wu, Changqing Weng

“…Meanwhile, wireless body area network (WBAN) technology, built on the Internet of Things (IoT), has been widely used in passive human health monitoring through convolutional neural algorithms. However, it is unclear whether the multimodal data collected by WBAN and its visualization and analysis allow AD patients to be more active in their own health and enhance stakeholders’ care for AD patients compared to traditional active health monitoring. …”
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Evaluating visitor perception and spatial preferences of various museums based on machine learning from 2016 to 2024. by Yuandi Jiang, Kalyna Pashkevych, Shibo Bi

“…Based on the comprehensive perspective of typology and spatio-temporal dynamic evolution, this study not only provides empirical support for museum space optimization, but also provides new ideas and strategies for functional research and methodological insights of public spaces.…”
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Fuzzy Random Prediction Model of Frost Heave Characteristics of Horizontal Frozen Metro Contact Channel in Coastal Area by Yao Yafeng, Zhang Zhemei, Wang Wei, Li Yongheng, Li Siqi, Wei Chenguang

“…With the aim of improving the deficiency of traditional BP neural network algorithms in solving fuzzy random engineering problems, random factor and mean square error between layers are used to modify the evaluation function of the network model. …”
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Demonstration of 4 <inline-formula> <tex-math notation="LaTeX">$\times$</tex-math></inline-formula> 128-Gb/s DFT-S OFDM Signal Transmission over 320-km SMF With IM/DD by Yuanquan Wang, Jianjun Yu, Nan Chi

“…Meanwhile, a combination of advanced digital signal processing (DSP) algorithms, such as pre-equalization, nonlinearity equalization (NE), and decision-directed least mean square (DDLMS), are utilized to mitigate the system distortions and improve system performance. …”
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Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study by Johannes Hangl, Viktoria Joy Behrens, Simon Krause

“…<i>Results</i>: As a summary of the results, the main areas of AI in SCM were algorithms, followed by the Internet of Things (IoT). …”
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Coupled memory sampled-data control for fractional stochastic wind energy conversion models by Girija Panneerselvam, Prakash Mani

“…Theoretically, this paper introduces a permanent magnet synchronous generator (PMSG)-based WECS, which is crucial in predicting and optimizing system behavior without physical implementation and also useful in analyzing the various operating conditions. …”
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Artificial Intelligence and Li Ion Batteries: Basics and Breakthroughs in Electrolyte Materials Discovery by Haneen Alzamer, Russlan Jaafreh, Jung-Gu Kim, Kotiba Hamad

“…Recent advancements in artificial intelligence (AI), particularly in algorithms and computing power, have led to the widespread adoption of AI techniques in various scientific and engineering disciplines. …”
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The National Police in the system of administrative delinquency prevention subjects by O. M. Muzychuk

“…The article notes that the introduction of martial law in Ukraine has changed the approach to the organisation of police work, since domestic law enforcement agencies have faced challenges previously unknown to science and practice, in particular, in the area of prevention of administrative delinquency among internally displaced persons, in the de-occupied territories, and in the context of hostilities, which required new algorithms and approaches, as well as consideration of the priorities and principles of activity. …”
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ML-Enabled Millimeter-Wave Software-Defined Radio With Programmable Directionality by Marc Jean, Murat Yuksel, Xun Gong

“…We design and implement Q-learning, Double Q-learning, and Deep Q-learning algorithms that passively inspect the Received Signal Strength (RSS) of the mmWave beam and autonomously determine the predicted AoA. …”
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Spaceborne GNSS Reflectometry for Vegetation and Inland Water Monitoring: Progress, Challenges, Opportunities, and Potential by Jiaxi Xie, Jinwei Bu, Huan Li, Qiulan Wang

“…This paper explores the application of GNSS-R technology in vegetation parameters and inland water monitoring, especially its potential in vegetation parameters and surface water monitoring applications. The article also mentioned that the accuracy and efficiency of parameter retrieval can be significantly improved by improving models and algorithms, such as using neural networks and data fusion technology. …”
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Constitutional-Legal Aspect of Creating Large Language Models: the Problem of Digital Inequality and Linguistic Discrimination by I. G. Ilin

“…While direct forms of discrimination can be detected in predictive algorithms, generative models create more subtle but no less significant cumulative effects. …”
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Ion channel classification through machine learning and protein language model embeddings by Ghazikhani Hamed, Butler Gregory

“…We employ a comprehensive array of machine learning algorithms, including k-Nearest Neighbors, Random Forest, Support Vector Machines, and Feed-Forward Neural Networks, alongside a novel Convolutional Neural Network (CNN) approach. …”
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Melanoma Skin Lesion Classification Using Neural Networks: A systematic review by ahmed hammo, Mohammed Younis

“…Also for the detection of melanomas, the most popular datasets and how they're being used to train neural network models were presented. …”
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