Mild water deficit during maturity reduces cracking rate of greenhouse muskmelon while improving fruit quality by Qimin Xue, Hao Li, Taisheng Du

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Beyond Spectrograms: Rethinking Audio Classification from EnCodec’s Latent Space by Jorge Perianez-Pascual, Juan D. Gutiérrez, Laura Escobar-Encinas, Álvaro Rubio-Largo, Roberto Rodriguez-Echeverria

“…We analyze the characteristics of EnCodec’s output and compare its performance against traditional spectrogram-based approaches, providing insights into this novel approach’s advantages.…”
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Optimal Design and Operation of an Ultrasonic Driving System for Algae Removal Considering Underwater Environment Load by Changdae Joo, Taekue Kim

“…Based on this analysis, we developed an ultrasound-driven system capable of efficient output control by incorporating the impedance characteristics of the transducer under load variations and subaquatic conditions. …”
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Dynamic Environmental Economic Dispatch Considering the Uncertainty and Correlation of Photovoltaic–Wind Joint Power by Yi Ru, Ying Wang, Weijun Mao, Di Zheng, Wenqian Fang

“…Subsequently, the Latin hypercube sampling method is employed alongside an improved K-means clustering technique to derive typical output scenarios. …”
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Regional Competitiveness in Turkey by Emine Demet Ekinci hamamcı

“…The aim of this study is to determine the competitiveness indices of the sub regions according to NUTS2 level in Turkey and to estimate efficiency of these indices for creating GDP per capita. …”
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Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting by Tiyasha Tiyasha, Chijioke Elijah Onu, Mohamed A. Ismail, Rama Rao Karri, Abdelfattah Amari, Vinay Kumar, Suraj Kumar Bhagat

“…Abstract This research proposes the use of hybrid machine learning methods to mimic dye removal efficiency. Hyperparameter tuning via differential evolution (DE), genetic algorithm (GA), random search (RS), and grid search (GS) with the XGBoost model was conducted to achieve more accurate results. …”
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Optimal Design of an Ultrasmall SOI-Based 1 × 8 Flat-Top AWG by Using an MMI by Hongqiang Li, Yaoting Bai, Xiaye Dong, Enbang Li, Yang Li, Yu Liu, Wenqian Zhou

“…Moreover, the output spectrum responses of AWGs with or without a flattened structure are compared. …”
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Full-Scale Piano Score Recognition by Xiang-Yi Zhang, Jia-Lien Hsu

“…Sheet music is one of the most efficient methods for storing music. Meanwhile, a large amount of sheet music-image data is stored in paper form, but not in a computer-readable format. …”
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The Design and Testing of a Special Drinker for Meat Ducks Based on Reverse Engineering by Tao Sun, Huixin Wang, Enze Duan, Gang Ma, Zongchun Bai

“…Background: Intensive poultry production requires highly efficient drinking systems to ensure both animal welfare and production performance; however, conventional drinkers for meat ducks often suffer from design deficiencies that compromise drinking efficiency and result in significant water wastage. …”
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An integrated deep convolutional neural networks framework for the automatic segmentation and grading of glioma tumors using multimodal MRI scans by Otung John Peter Odong, Mohammed Abo-Zahhad, Moataz Abdelwahab

“…The segmentation network utilizes the encoder for feature extraction and dimensionality reduction, while the decoder reconstructs the output to the original input size. A thorough performance evaluation of CNN architectures based on pre-trained (ResNet50, EfficientNetB0, DensNet121, EfficientNetB2, and ResNet152V2) was conducted on a three-class dataset of glioma, meningioma, and pituitary tumors to determine the best model for tumor grading. …”
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AI based data-driven point cloud optimization strategy in cloud computing framework for improving rendering performance of virtual city scenes by Cao Zhongda

“…The outcomes indicates that this method can effectively enhance the efficient rendering performance of virtual city scene and provide useful references and lessons for researchers of virtual city scene, to promote the continuous development and progress of virtual city scene rendering technology.…”
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Mathematical modeling describing the performance of open loop multivariable vapor compression chiller model: implications for sustainable HVAC in social housing development by Basim Touqan, Basim Touqan, Muna Salameh

“…IntroductionThis study introduces a simplified multi-variable state-space model of a vapour compression chiller system, focusing on key components such as the condenser and evaporator.MethodsThe model is based on a previously validated state-space framework and has been further developed to generate a transfer function matrix with two inputs (refrigerant and cold carrier flow rates) and two outputs (cooling capacity and outlet temperature). …”
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Short-Term Scheduling of Pump Station-integrated Cascade Hybrid Pumped Storage Systems by QIAN Jun, TAN Qiaofeng, WEN Xin, ZHENG Mingfen, SHEN Yanqing

“…A short-term scheduling study of the multi-stage hybrid pumped storage power station, based on the addition of pumping stations, is conducted. This method aims to achieve efficient operation of the energy storage pumping stations and provide a reference for the integration of new energy consumption and the construction of pumped storage.MethodsFirstly, a dynamic control strategy for the reservoir capacity of multi-stage hybrid pumped storage power stations was proposed. …”
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Amplitude modulation of radiation by coupled resonators by A. I. Kanojka

“…In this paper, we describe a method that allows one to realize highly efficient amplitude modulation of radiation at the output of electro-optical laser switches with two coupled resonators, in which electro-optical elements are located both in two split arms and in every arm of a multipath interferometer with combined channels with a control voltage 2 times lower than in existing laser switches. …”
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Creative generation and evaluation system of art design based on artificial intelligence by Song Gao

“…GANs demonstrate exceptional creativity but fall short in artistry and output diversity, making them ideal for exploratory and experimental art creation. …”
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An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations by Mahmoud Mollayousefi Zadeh, Zakaria Afshar, Gholamreza Farahani, Seyed Mohammad Taghi Bathaee

“…Considering the increasing penetration of renewable energy sources (RESs) into power grids, adopting efficient energy management strategies is vital to mitigate the uncertainty issues resulting from the intermittent nature of their output power. …”
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Channel Estimation for Switch-Based Millimeter-Wave Communications via Atomic Norm by Tao Ma, Xiangning Fan, Xiaohuan Wu

“…Channel estimation is a challenging issue in millimeter-wave massive multiple-input-multiple-output (MIMO) communication systems due to the large number of antennas in the transceiver. …”
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Nested sampling for Bayesian model comparison in the context of Salmonella disease dynamics. by Richard Dybowski, Trevelyan J McKinley, Pietro Mastroeni, Olivier Restif

“…Although this has traditionally been done using maximum likelihood-based methods such as Akaike's Information Criterion (AIC), Bayesian methods have gained in popularity because they provide more informative output in the form of posterior probability distributions. …”
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Decoupled Classifier Knowledge Distillation. by Hairui Wang, Mengjie Dong, Guifu Zhu, Ya Li

“…Mainstream knowledge distillation methods primarily include self-distillation, offline distillation, online distillation, output-based distillation, and feature-based distillation. …”
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Reinforcement Learning-Driven Task Offloading and Resource Allocation in Wireless IoT Networks by Zahraa Hashim Kareem, Rami Qais Malik, Sarmad Jawad, Firas Abedi

“…With the inclusion of decision-making processes along with constraint-tolerance and reinforcement learning, this research aids in IoT frameworks that require low energy output with less delay. The recommended method helps build a strong base for efficient task delegation alongside increased performance and scalability, which subsequently enhances AI edge computing and smart management of IoT systems.…”
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