Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…This paper addresses the problem of class imbalance, given the scarcity of training datasets by improving the quality of generated data. We propose an incremental synthetic data generation system that improves data quality over iterations by gradually adjusting to the data distribution and thus avoids overfitting in classifiers. …”
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Optimization Scheduling of Multiple Heterogeneous Energy Sources by Ying Zhao, Zhiwen Yu, Xiaobin Wang, Jianlin Tang, Xiaoming Lin, Fan Zhang, Bin Qian

“…Therefore, numerous researchers have conducted extensive studies aimed at improving the utilization rate of these diverse energy sources and reducing waste. …”
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The Gut Microbiota and Colorectal Cancer: Understanding the Link and Exploring Therapeutic Interventions by Imen Zalila-Kolsi, Dhoha Dhieb, Hussam A. Osman, Hadjer Mekideche

“…Given the growing understanding of the gut microbiome–cancer axis, developing microbiota-oriented strategies for CRC prevention and treatment holds promise for improving patient care and clinical outcomes.…”
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Gesture recognition based on flexible solar cells and ultrathin hydrogel film by Rucheng WU, Wenbo DING, Xiaomin XU, Linqi SONG, Weitao XU

“…Daily life involves various gestures, and combining these with smart wearable devices is crucial for improving quality of life.One effective solution to the challenges of gesture recognition and device energy consumption isutilizing the photoelectric conversion characteristics of solar energy-related devices.The data of five commonly used gestures were collected in the research of the combination of flexible solar cells and gesture recognition.Z-Score, low-pass filter, sliding window techniques for signal processing were applied, and successfully achieved 100% predicted accuracy using random forest, support vector machine and neural network algorithms even with small samples which showed that this method had significant advantages in the application of gesture recognition.…”
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AI in enhancing cultural sensitivity by Dwi Mariyono, Mufidul Abror

“…Findings indicate that AI-based instructional media outperform conventional methods in improving cultural representation and reducing implicit biases. …”
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SIMULATION TRAINING IN MEDICAL STUDENT PREPARATION by Oleg V. Zinchenko, Alla A. Muravyeva, Oksana V. Vladimirova

“…The developed method of preparation and improvement of professional skills of medical students allows to study algorithms of first aid in critical cases more deeply, to learn emergency medical manipulations, to be able to evaluate the results of performed manipulations. …”
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Decentralized control design for UAV swarms communication by Manju S, Prabha M, Farithkhan A, Sivagurunathan G, Michael Mahesh K

“…The proposed system ensures strong communication and steady flight formations by combining genetic algorithms with A* algorithms for effective trajectory planning. …”
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Steganalysis of LSB matching based on regional correlation by CHEN Ming1, ZHANG Ru1, LIU Fan-fan1, WU Jia1, NIU Xin-xin1

“…LSB matching improves the security of hidden message through changing the pixel’s LSB randomly, which breaks the rules of pairs of values of LSB replacement. …”
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Integrated unitarity for scattering amplitudes and the four-loop ladder Feynman integral by Piotr Bargieła

“…Abstract We consider multi-loop scattering amplitudes in dimensionally regularized Quantum Field Theory. We present an algorithmic way of reconstructing them from their cuts. …”
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Parenteral and Early Enteral Feeding in Patients with Colonic Tumor by O. A. Malkov, V. T. Dolgikh, A. O. Girsh

“…The early enteral feeding protocol improves central hemodynamics and oxygen and nutritional status, prevents moderate protein-energy deficiency in the early postoperative period and reduces the number of complications and fatal outcomes in patients with colonic malignancies. …”
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Steganalysis of LSB matching based on regional correlation by CHEN Ming1, ZHANG Ru1, LIU Fan-fan1, WU Jia1, NIU Xin-xin1

“…LSB matching improves the security of hidden message through changing the pixel’s LSB randomly, which breaks the rules of pairs of values of LSB replacement. …”
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Handy formulas for binomial moments by Maciej Skorski

“…As an interesting byproduct asymptotically sharp estimates for central binomial moments are established, improving upon previously known partial results.…”
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Cache replacement strategy based on content value by Dan HUANG, Rongfang SONG

“…The cache replacement mechanism is one of the important research issues of the content center network.Considering the limited cache space,the reasonable replacement of the cache content becomes a key factor affecting the overall performance of the network.Therefore,a cache replacement scheme based on content value was designed.Considering the dynamic popularity of content,the cost of caching,and the time of the most recently requested,a more realistic content value function was built,and an effective content storage and replacement scheme was designed based on the content value function.Specifically,when the cache space was insufficient,the existing cache contents were replaced according to the value from small to large.Simulation results show that compared with the traditional replacement algorithms LRU,LFU and FIFO,the proposed scheme effectively improves the content cache hit rate of network nodes and reduces the average hops of users’ content acquisition.…”
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Current therapy of interstitial pneumonia associated with systemic scleroderma by L. P. Ananieva

“…A significant progress has been made in recent years in management of severe systemic scleroderma (SSD) manifestations, such as Raynaud’s phenomenon, renal crisis, and pulmonary arterial hypertension, subsequently improving survival and quality of life. At the same time, treatment algorithms for interstitial lung damage in SSD have not yet been developed. …”
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Reinforcement Learning With Selective Exploration for Interference Management in mmWave Networks by Son Dinh-van, van-Linh Nguyen, Berna Bulut Cebecioglu, Antonino Masaracchia, Matthew D. Higgins

“…Numerical results demonstrate that selective exploration improves per-user spectral efficiency by up to 22.5% compared to scenarios without it. …”
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Reliability and Quality of Complex Systems by I.V. Peshkov, V.A. Zhigulin, N.A. Fortunova

“…The results obtained demonstrate the correctness of the operation of the obtained hardware and software models, and also indicate the effectiveness of the calibration method used – an increase in the resolution of the direction finding algorithms is observed on the graphs. This improvement is maintained at different angles of arrival of the signal and when the SNR changes. …”

Balancing Predictive Performance and Interpretability in Machine Learning: A Scoring System and an Empirical Study in Traffic Prediction by Fabian Obster, Monica I. Ciolacu, Andreas Humpe

“…This paper investigates the empirical relationship between predictive performance, often called predictive power, and interpretability of various Machine Learning algorithms, focusing on bicycle traffic data from four cities. …”
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Advancements in AI-Powered Electric Vehicle Routing: Multi-Constraint Optimization and Infrastructure Integration Approaches for Evolving EVs—A Survey by P. Anandha Prakash, R. Radha

“…Electric vehicles (EVs) have become essential tools in the worldwide shift to sustainable transportation, driven by advances in battery technology, charging infrastructure, and routing algorithms. This paper presents a comprehensive investigation of the emerging EV ecosystem through three key domains: electric automobiles, routing algorithms, and charging infrastructure. …”
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Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students by Yagyanath Rimal, Yagyanath Rimal, Navneet Sharma

“…The algorithms examined include decision trees, K-nearest neighbors, random forests, support vector machines, XGBoost, gradient boosting, and bagging. …”
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Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things by Poshan Belbase, Rajan Bhusal, Sapana Sharma Ghimire, Shreesti Sharma, Bibek Banskota

“…However, challenges such as data privacy, algorithmic bias, and regulatory compliance must be addressed to ensure responsible deployment of these technologies.ConclusionIntegrating IoT and AI in healthcare holds immense promise for improving patient outcomes and optimizing healthcare delivery. …”
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