How can selection of biologically inspired features improve the performance of a robust object recognition model? by Masoud Ghodrati, Seyed-Mahdi Khaligh-Razavi, Reza Ebrahimpour, Karim Rajaei, Mohammad Pooyan

“…Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding ability has motivated many computational object recognition models. …”
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Thermal optimization of nickel-carbon nanodots using neural network and numerical simulation by Sohail Ahmad, Hessa A. Alsalmah

“…The nonlinear governing problem is solved through the finite difference method and then further optimized and validated with a CNN-based model for enhanced accuracy and computational efficiency. The CNN model is trained on a data generated from numerical simulations, enabling efficient prediction of flow and thermal characteristics. …”
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Advanced Supply-Demand Optimization in Renewable-Powered Microgrids by K Aravind, Pal Thethi H., Devananda Rao Bolleddu, Tewari Preeti, Emad Rafal, Balachandran Praveen kumar

“…The work aims to provide a holistic understanding of power distribution system resilience, to present future research directions, and to help develop efficient methods to strengthen grid resilience to improve restoration following disruptions.…”
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Advancing Road Safety Through Intelligent Vehicle Accident Detection and Reporting Enabled by IoT Innovation by Rahat Ullah Khattak, Abdullah

“…The system's intelligence lies in its ability to not only detect accidents but also to assess their severity based on sensor data analysis, enabling a more targeted and efficient emergency response. …”
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Embracing E-Court Innovation: Advancing Maslahah Mursalah in Indonesia's Religious Courts by Eti Yusnita, Yuswalina, Muhammad Toriq

“…Digital transformation reflects the issue of ensuring more efficient and cost-effective services. Factors that influence include cost savings from paperless processes, the ability to file cases remotely, technological literacy issues, and internet connectivity challenges in some areas. …”
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THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS by Andrii Ivashchenk, Tetiana Ivashchenko

“…Our findings indicate that traditional LSTM models outperform generative AI models in time-series forecasting tasks due to their ability to capture temporal dependencies. However, integrating generative AI for dataset refinement and model optimization significantly improved forecasting performance. …”
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Studying Potentials and Barriers of Successful Implementation of Smart Contracts in Saudi Arabia’s Construction Industry by Ghasan Alfalah, Abobakr Al-Sakkaf, Eslam Mohammed Abdelkader, Saleh Rawdhan, Mohamed Essam Shaawat, Othman Alshamrani

“…Smart contracts have the ability to address a variety of important obstacles in the construction business, such as contract conflicts and payment issues. …”
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Unified Power Flow Controller for PV Systems Using AI-Driven Power Quality Improvement Using Coupled Inductor Dual Boost Converter by Chindam A., IlanjiAkilandam C., DugyalaV.

“…Moreover, the converter ranks with improved efficiency of 88%, with improved voltage and current characteristics. …”
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Fault diagnosis of power transformers based on dissolved gas analysis and improved LightGBM hybrid integrated model with dual‐branch structure by Xuebin Lv, Fuzheng Liu, Mingshun Jiang, Faye Zhang, Lei Jia

“…Firstly, multi‐characteristic dissolved gas ratio analysis is used to construct multi‐dimensional supplementary feature vectors, which enrich the characterisation features of transformers and facilitate efficient diagnosis of classification models. Secondly, a dual‐branch structure combining focal‐gradient harmonic loss and cross‐entropy loss is introduced to improve the attention and recognition ability of the model to a few categories in the dataset and alleviate the influence of data imbalance on the diagnostic results. …”
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Closed-Form Continuous-Time Neural Networks for Sliding Mode Control with Neural Gravity Compensation by Claudio Urrea, Yainet Garcia-Garcia, John Kern

“…The adaptability and ability of the proposed controller to maintain superior performance in dynamic industrial environments are highlighted, outperforming the classic SMC, Proportional-Integral-Derivative (PID), and Neural controllers. …”
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Learning Constitutive Relations From Soil Moisture Data via Physically Constrained Neural Networks by Toshiyuki Bandai, Teamrat A. Ghezzehei, Peishi Jiang, Patrick Kidger, Xingyuan Chen, Carl I. Steefel

“…The limited degrees of freedom of such soil hydraulic models constrain our ability to extract soil hydraulic properties from soil moisture data via inverse modeling. …”
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A Combined Approach Of Adasyn And Tomeklink For Anomaly Network Intrusion Detection System Using Some Selected Machine Learning Algorithms by Nasiru Ige Salihu, Muhammed Nazeer Musa, Awujola J. Olalekan

“…Securing computer networks against malicious attacks requires an efficient Network Intrusion Detection System (IDS). …”
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Detonation Wave Propagation of Double-Layer Shaped Charge and Its Driving Characteristics to the Liner by Youlong Wu, Chuang Chen

“…The double-layer charge can effectively improve the axial driving ability of explosives, which shows a considerable engineering application prospect in highly efficient damage warheads. …”
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All-optical Fourier neural network using partially coherent light by Jianwei Qin, Yanbing Liu, Yan Liu, Xun Liu, Wei Li, Fangwei Ye

“…We attribute this enhancement to spatially incoherent light's ability to alleviate experimental errors like diffraction rings and laser speckle. …”
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Tomato ripeness detection method based on FasterNet block and attention mechanism by Ming Chen, Yixuan Xu, Wanxiang Qin, Yan Li, Jiyang Yu

“…To address this, this study proposes a tomato maturity detection model based on an improved YOLOv11n, incorporating the C3k2-Faster-EMA module to enhance the model's feature extraction capability and detection efficiency. In addition, the SimAM attention mechanism is introduced, enabling the model to intelligently focus on key features of the tomatoes, thereby improving its ability to recognize tomatoes at different maturity stages and enhancing detection accuracy. …”
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Review on Synthesis of Silica-Based Hybrid Sorbents and Their Application in Radionuclide Separation and Removal via Chromatographic Technique by Xiangbiao Yin, Fan Wang, Qi Zheng, Shunyan Ning, Lifeng Chen, Yuezhou Wei

“…The efficient separation and removal of key nuclides is important for the nuclear fuel cycle from the aspects of radioactivity reduction and potential resource recycling. …”
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Enhancing the thermal conductivity and viscosity of ethylene glycol-based single-walled carbon nanotube (SWCNT) nanofluid: An investigation utilizing equilibrium molecular dynamics... by Shubhankar Sarkar, Papiya Pal, Nanda Kumar Ghosh

“…Increased interaction between CNT and liquid atoms of EG, and the high heat conductance ability of SWCNT nanoparticles enhance the effective conductivity and viscosity of NFs. …”
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Advancements in Skin Aging Treatment: Exploring Antioxidants and Nanoparticles for Enhanced Skin Permeation by Raghda M. Elsisi, Dina O. Helal, George M. Mekhail, Dalia M. N. Abouhussein, Amany O. Kamel

“…Due to their distinct size-dependent characteristics and ability to integrate medicines, NPs in general provide a variety of therapeutic benefits for antioxidant drug delivery to control skin aging.…”
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Selective Electrochemical Determination of Etoposide Using a Molecularly Imprinted Overoxidized Polypyrrole Coated Glassy Carbon Electrode by Hajer Hrichi, Lotfi Monser, Nafaâ Adhoum

“…A simple and efficient new electrochemical sensor based on molecularly imprinted polymer has been developed for selective detection of an anticancer agent Etoposide (ETP). …”
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Fault Classification in Diesel Engines Based on Time-Domain Responses through Signal Processing and Convolutional Neural Network by Gabriel Hasmann Freire Moraes, Ronny Francis Ribeiro Junior, Guilherme Ferreira Gomes

“…In today’s interconnected industrial landscape, the ability to predict and monitor the operational status of equipment is crucial for maintaining efficiency and safety. …”
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