A Novel Intensity-Corrected Blue Channel Compensation and Edge-Preserving Contrast Enhancement Using Laplace Filter and Sigmoid Function for Sand-Dust Image Enhancement by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero Roth

“…The evaluation results confirm that the proposed method outperforms all previous and advanced deep learning methods in terms of visual quality, metrics, time complexity, and energy efficiency, making it a promising solution for sand-dust image enhancement in real-world applications.…”
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Advancing carbon capture with bio-inspired membrane materials: A review by W. Rahmah, K. Khoiruddin, I.G. Wenten, S. Kawi

“…Traditional carbon capture technologies face limitations such as high operational costs and limited efficiency. In contrast, bio-inspired membranes, drawing from the efficiency and specificity of natural systems, offer higher CO2 selectivity, reduced energy requirements, and increased sustainability. …”
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Importance of substrate type and its constituents on overall performance of microbial fuel cells by Somil Thakur, Rajnish Kaur Calay, Mohamad Y. Mustafa, Fasil E. Eregno, Ravindra R. Patil

“…The paper discusses the challenges such as suitability of various wastewaters, unpredictability of composition, presence of inhibitory chemicals like heavy metals or toxic organics that can subdue the microbial activity and reduce efficiency of a MFC reactor. It aims to identify the relationship between the substrate characteristics and MFC performance in order to select the substrate for achieving optimal output from MFC technology. …”
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A Particle Swarm Optimization-Guided Ivy Algorithm for Global Optimization Problems by Kaifan Zhang, Fujiang Yuan, Yang Jiang, Zebing Mao, Zihao Zuo, Yanhong Peng

“…In recent years, metaheuristic algorithms have garnered significant attention for their efficiency in solving complex optimization problems. …”
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Comparative Study on Dynamic Mechanical Properties and Energy Dissipation of Rocks under Impact Loads by Renshu Yang, Weiyu Li, Zhongwen Yue

“…Geological conditions are often complex during rock engineering construction (such as blasting and drilling) and usually involve rocks of several or multiple lithologies. …”
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Greening concept in inventory system for deteriorating items with preservation investment and price and stock dependent demand via marine predators algorithm by Hachen Ali, Gobinda Chandra Panda, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Jeonghwan Gwak

“…The resulting objective function is highly nonlinear and complex. To solve it efficiently, this study employs the Marine Predators Algorithm (MPA)—a newly developed metaheuristic algorithm well-suited for continuous, nonlinear optimization. …”
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Spatial and Spectral Structure-Aware Mamba Network for Hyperspectral Image Classification by Jie Zhang, Ming Sun, Sheng Chang

“…Recently, a network based on selective state space models (SSMs), Mamba, has emerged as a research focus in hyperspectral image (HSI) classification due to its linear computational complexity and strong long-range dependency modeling capability. …”
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A Comprehensive Review of Explainable Artificial Intelligence (XAI) in Computer Vision by Zhihan Cheng, Yue Wu, Yule Li, Lingfeng Cai, Baha Ihnaini

“…Explainable Artificial Intelligence (XAI) is increasingly important in computer vision, aiming to connect complex model outputs with human understanding. This review provides a focused comparative analysis of representative XAI methods in four main categories, attribution-based, activation-based, perturbation-based, and transformer-based approaches, selected from a broader literature landscape. …”
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Intensification of the process of extraction of sucrose from sugar beet of different technological advantage by Kulneva Nadezhda, Korobova Lyudmila, Matytsina Irina, Matvienko Natalia, Chernyaeva Svetlana

“…Experimental data on determining the molecular diffusion coefficient after processing sugar beet tissue using salt solutions confirmed the efficiency of the proposed method. A design of an apparatus for the complex thermochemical processing of sugar beet chips before extraction using rational technical solutions has been developed. …”
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Evaluating Predictive Accuracy of Regression Models with First-Order Autoregressive Disturbances: A Comparative Approach Using Artificial Neural Networks and Classical Estimators by Rauf I. Rauf, Masad A. Alrasheedi, Rasheedah Sadiq, Abdulrahman M. A. Aldawsari

“…These findings underscore the advantages of the ANN for predictive tasks involving autocorrelated data, highlighting its robustness and suitability for complex, large-scale datasets. This study provides practical guidance for selecting optimal prediction techniques in the presence of autocorrelation, recommending the ANN as the preferred method due to its superior performance.…”
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Investigation on Imbibition Recovery Characteristics in Jimusar Shale Oil and White Mineral Oil by NMR by Dunqing Liu, Chengzhi Jia, Keji Chen

“…Specifically, when the oil phase contains complex hydrocarbon components, lighter fractions in larger pores are preferentially mobilized; when the oil composition is homogeneous, oil in smaller pores is mobilized first.…”
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Construction and scheduling optimization of renewable energy consumption forecasting system for twisted tire porcelain manufacturing industry based on deep learning by Fangrong Liao, Runlin Ran, Jiayi Zhang

“…Abstract As a traditional handicraft with a long history and exquisite skills, the manufacturing process of twisted tire porcelain involves complex steps and high energy consumption. Because twisted tire porcelain has many unique patterns, it is necessary to classify porcelain according to the patterns in the production process. …”
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BiLSTM-Based Parallel CNN Models With Attention and Ensemble Mechanism for Twitter Sentiment Analysis by Anas W. Abulfaraj

“…Three parallel CNN layers extract complex low-level features from embeddings after the embedding layer. …”
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Ensuring Semantic Consistency in SysML v2 Models Through Metamodel-Driven Validation by Eduardo Cibrian, Jose Olivert-Iserte, Carlos Diez-Fenoy, Roy Mendieta, Juan Llorens, Jose Maria Alvarez-Rodriguez

“…Model-Based Systems Engineering (MBSE) relies on formal models for system lifecycle management, supporting model coherence and efficient reuse of components. Modelling languages, particularly SysML v2, provide a standardized framework for complex system modelling, overcoming key limitations of earlier versions. …”
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Unraveling genetic predisposition and oxidative stress in vitiligo development and the role of artificial intelligence (AI) in diagnosis and management by Kocić Hristina, Lotti Torello, Jevtović-Stoimenov Tatjana, Wollina Uwe, Valle Yan, Lukić Stevo, Klisić Aleksandra

“…By analysing vast datasets, AI algorithms can identify patterns within complex genetic markers and clinical features, facilitating earlier and more precise detection of vitiligo. …”
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A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots by Nour AbuJabal, Mohammed Baziyad, Raouf Fareh, Brahim Brahmi, Tamer Rabie, Maamar Bettayeb

“…The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments. …”
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Understanding the creep behaviors and mechanisms of Mg-Gd-Zn alloys via machine learning by Shuxia Ouyang, Xiaobing Hu, Qingfeng Wu, Jeong Ah Lee, Jae Heung Lee, Chenjin Zhang, Chunhui Wang, Hyoung Seop Kim, Guangyu Yang, Wanqi Jie

“…This study introduces an efficient method to comprehend creep behaviors through machine learning, offering valuable insights for the future design and selection of Mg alloys.…”
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Reconfigurable acoustic streaming tweezers enabled portable liquid handler for nucleic acid extraction by Tiechuan Li, Rui You, Xiaotian Shen, Zhiwei Li, Yang Yang, Ziyu Han, Xuexin Duan

“…Consequently, beads clumping and complex peripherals hinder the development of portable NA extraction apparatus. …”
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EDHD-FG-XGBoost: Entropy-driven high-dimensional feature gain XGBoost model for short-term wind power prediction and application by Xing Liu, Xingyu Mou, Ying Zhang, Hui Chen, Xin Wang, Xihao Sun, Chengcheng Wang, Ruixiang Shong, Yunfeng Li

“…Wind power prediction is critical for the efficient utilization of wind energy and the stable operation of power grids. …”
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An Integrated Method for Inverting Beach Surface Moisture by Fusing Unmanned Aerial Vehicle Orthophoto Brightness with Terrestrial Laser Scanner Intensity by Jun Zhu, Kai Tan, Feijian Yin, Peng Song, Faming Huang

“…This method demonstrates robust predictive accuracy in complex beach environments, with an RMSE of 2.63% across 40 samples, efficiently producing high-resolution BSM maps that offer values in studying aeolian sand transport mechanisms.…”
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