Non-Destructive Detection of Current Internal Disorders and Prediction of Future Appearance in Mango Fruit Using Portable Vis-NIR Spectroscopy by Jasciane da Silva Alves, Bruna Parente de Carvalho Pires, Luana Ferreira dos Santos, Tiffany da Silva Ribeiro, Kerry Brian Walsh, Ederson Akio Kido, Sergio Tonetto de Freitas

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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…The potentiality of these features was evaluated using Sequential Forward Floating Selection (SFFS)-based algorithm and support vector machine (SVM) was employed to evaluate the performance of ZL and PL tasks. …”
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Helicopter Turboshaft Engines’ Neural Network System for Monitoring Sensor Failures by Serhii Vladov, Łukasz Ścisło, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Tomasz Perzyński, Viktor Vasylenko, Victoria Vysotska

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Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks by Mandli Rami Reddy, M. L. Ravi Chandra, Ravilla Dilli

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Securing the economic management and service infrastructure of banks via the use of artificial intelligence (MO-ILSTM) by Xintong Wu

“…The platform can also effectively forecast financial risks, with a prediction accuracy of 75.6 % due to information exchange and interaction. Thus, the ILSTM algorithm can significantly reduce economic risks and enhance the effectiveness of economic management and service infrastructure.…”
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On Channel Transforms to Enhance Reciprocity and Quantization in Physical-Layer Secret Key Generation by Ghalib Hussain, Syed Junaid Nawaz, Shurjeel Wyne, Mohammad N. Patwary

“…Furthermore, for the considered system and channel parameters the proposed algorithm provides an average improvement of 0.06% in KDR compared to cumulative distribution function (CDF)-based non-uniform quantization (CDF-NUQ).…”
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Numerical Simulation of Dynamic Response of Slab-Column Structures under Fire-Explosion Coupled Effects by LIU Jingbo, YANG Qiong, WU Lei, WANG Chengquan, YU Xiongfei, FANG Mingyu, DONG Tengfang

“…In contrast, explosions initiated over the slab mid-span led to widespread flexural damage over a larger area, associated with smaller, delayed column reaction forces (peak ~14 kN).ConclusionsThis research successfully developed and validated a numerical framework to investigate the dynamic response of slab-column structures under sequential fire-explosion events. …”
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Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction by Yalong Li, Ye Jin, Yangqing Dan, Wenting Zha

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Prediction of Shear Wave Velocity Based on a Hybrid Network of Two-Dimensional Convolutional Neural Network and Gated Recurrent Unit by Tengfei Chen, Gang Gao, Peng Wang, Bin Zhao, Yonggen Li, Zhixian Gui

“…Over the last few years, some researchers proposed deep learning algorithms to predict the shear wave velocity using conventional logging data. …”
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Optimizing micro cold storage for detecting stale food and fruits by Arun Sreelekha, Amit Wagle Shivali, Nambiar Prahas, Panalkar Pratham, Ekka Prince, Kumar Vaibhav, Dhiman Harsh, Roy Anindita

“…This work presents an algorithm based on the Inception v3 AI model that aids in assessing the condition or quality of fruits and vegetables that are stored in controlled environmental conditions. …”
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Synthesis of magnetic nanostructures in different carbon matrices and post annealing with oxygen, nitrogen and argon by Vicente Pena Perez, Cristian Reynaga Gonzalez, Erick Villegas, Jonah Baughman, Lorena Aguirre, Franco Iglesias, Armond Khodagulyan, Oscar O. Bernal, Armen N. Kocharian

“…To obtain a deeper insight into the influences of impurities in the graphene matrices on the magnetic properties of synthesized by pyrolysis, the two different metal free modifications of porphyrin such as tetraphenyl porphyrin (TPP) and tetra(4-carboxyphenyl) porphyrin (TCPP) with oxygen content (radical) were synthesized by subsequential post annealing with oxygen, argon and nitrogen, to characterize and investigate the role of oxygen and nitrogen content in graphene environment. The research highlights the significance of porphyrin and phthalocyanine metal free precursors and their metal counterparts for use as carbon matrices, examining their unique characteristics and applications in nanoparticle synthesis by sequential annealing. …”
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Optimizing urban energy flows: Integrative vehicle-to-building strategies and renewable energy management by Jian Hern Yeoh, Kai-Yun Lo, I-Yun Lisa Hsieh

“…The optimization tasks are handled using the Sequential Least Squares Programming (SLSQP) algorithm, which is well-suited for managing quadratic objective functions, nonlinear constraints, and bounded variables. …”
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Ranking of the Territory of Sochi by the Risk of Infection with HFRS Using the Method of Maximum Entropy by E. V. Chehvalova, E. A. Manin, A. N. Kulichenko

“…Based on the application of the maximum entropy algorithm implemented in the MaxEnt program, as well as the ArcGIS 10 program.8. …”
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Comparative Assessment of the Dynamics of Visual Performance of a Patient with Visually Intense Work with Binocular Cataract after Various Technologies of Cataract Phacoemulsificat... by D. F. Pokrovsky, I. B. Medvedev, N. I. Ovechkin, I. G. Ovechkin, A. I. Pavlov

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Glasgow Coma Scale: Linguistic-Cultural Adaptation of the Russian Version by M. A. Piradov, N. A. Suponeva, Yu. V. Ryabinkina, E. V. Gnedovskaya, K. A. Ilyina, D. G. Yusupova, A. A. Zimin, L. A. Legostaeva, E. G. Yazeva, I. S. Bakulin, A. B. Zaitsev, N. V. Polekhina, P. Bundhun, N. M. Ramchandani, V. Y. Samorukov, M. A. Domashenko

“…In order to carry out a quick and at the same time sufficiently complete assessment of this kind, in 1974 neurosurgeons Graham Teasdale and Bryan Jennett from the University of Glasgow developed an algorithm consisting of a sequential series of tests in the form of eye opening, speech and motor responses, called Glasgow Coma Scale. …”
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Measurement-Based Assessment of Energy Performance and Thermal Comfort in Households Under Non-Controllable Conditions by George M. Stavrakakis, Dimitris Bakirtzis, Dimitrios Tziritas, Panagiotis L. Zervas, Emmanuel Fotakis, Sofia Yfanti, Nikolaos Savvakis, Dimitris A. Katsaprakakis

“…The current research presents a practical approach to assess energy performance and thermal comfort in households through monitoring campaigns. …”
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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…To enhance model performance, we introduce a novel non-dominated sorting artificial bee colony (NSABC) algorithm, which fine-tunes the hyper-parameters of the CNN-RNN structure, including weights, biases, the number of layers, and neuron configurations. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…This neural network architecture is capable of processing sequential data from multiple directions, enhancing the system’s ability to predict the spread and intensity of fires. …”
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A New Approach Based on the Learning Effect for Sequence-Dependent Parallel Machine Scheduling Problem under Uncertainty by Maryam Ebrahimi, Parviz Dinari, Mohamad Samaei, Rouhollah Sohrabi, Soheil Sherafatianfini

“…The results show that the hybrid algorithm can provide more substantial results than classical algorithms. …”
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Fast optimization of the emission reduction pathways of major air pollutants in China: From the perspective of different decision preferences by Yihao Wang, Xuying Wang, Yixuan Zheng, Zeyuan Liu, Yu Zhang, Jiani Kang, Wenbo Xue, Jing Zhang, Yu Lei

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