Image Dehazing Based on Accurate Estimation of Transmission in the Atmospheric Scattering Model by Guoling Bi, Jianyue Ren, Tianjiao Fu, Ting Nie, Changzheng Chen, Nan Zhang

“…The dark channel prior (DCP) has been considered to be an efficient dehazing technique in recent years. However, the invalidation of DCP can induce unreliable estimation of transmission, resulting in inaccurate color information recovery, halo artifacts, and block effect. …”
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LKDA-Net: Hierarchical transformer with large Kernel depthwise convolution attention for 3D medical image segmentation. by Ming Li, Jingang Ma, Jing Zhao

“…In this paper, we propose a lightweight three-dimensional convolutional network, LKDA-Net, for efficient and accurate three-dimensional volumetric segmentation. …”
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Recent Results on the Use of Artificial Intelligence Techniques Applied to Wireless Power Transfer Systems by Federico Amadei, Michele Quercio, Francesco Riganti Fulginei

“…The article discusses various approaches, including supervised learning, regression models, and Q-learning algorithms, highlighting their ability to reduce design time, improving system efficiency, and mitigate risks associated with misalignment and object interference. …”
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Design and Implementation of a Hybrid Solar-Grid-Powered Electric Bicycle by Mphephu Fhumulani, Ayoade Idowu Adetona, Longe Omowunmi Mary

“…A Maximum Power Point Tracking (MPPT) charge controller optimises solar energy harvesting and ensures efficient battery charging. A DC-DC boost converter was designed to regulate voltage levels, enhancing power transfer efficiency from solar panels to the battery. …”
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Integrated structural analysis for geothermal exploration: A new protocol combining remote sensing and aeromagnetic geophysical data by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Pantelis Soupios

“…Geothermal energy holds significant potential as a sustainable and clean source, yet efficient exploration methodologies remain critical for identifying viable sites. …”
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Using Transformers and Reinforcement Learning for the Team Orienteering Problem Under Dynamic Conditions by Antoni Guerrero, Marc Escoto, Majsa Ammouriova, Yangchongyi Men, Angel A. Juan

“…These findings suggest that learning-based methods can offer efficient, scalable, and adaptable solutions for routing problems in dynamic and uncertain environments.…”
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Research on multi-branch residual connection spectrum image classification based on attention mechanism by Zhong Xiaohui, Dong Sheng, Zhang Yiyi, Lu Wei, Jiang Lincen

“…In order to optimize this problem, this paper proposes a multi-branch residual-connected Efficient Global Attention (EGA) acoustic spectral image classification network based on the attention mechanism, which firstly separates the components with their respective acoustic features from the spectral noise, so as to achieve the purpose of noise reduction, and then extracts the Phase Resolved Partial Discharge (PRPD) Spectrum of the Intermediate Frequency (IF) cycle for the original signals that have undergone noise reduction, which is based on the attention mechanism through the Improved Global Attention Mechanism (IGAM) in the EGA of the backbone network. mechanism pays more attention to the channel and spatial features of the spectrogram, then improves the feature extraction ability by residual connection, and finally performs feature fusion with the mask branch. …”
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Capability-driven framework to automate discovery of bounded contexts in large-scale requirements engineering by Shohreh Ajoudanian, Maryam Nooraei Abadeh

“… Large-scale requirement engineering needs automated precise and efficient capability modeling and analyzing methods formally to interoperate with the evolving and goal-driven requirements. …”
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The impact of emotional valence on the spatial scope of visual selective attention by Thitaporn Chaisilprungraung, Poopa Kaewbuapan, Singh Intrachooto, Sarigga Pongsuwan, Sirawaj Itthipuripat

“…Abstract The brain’s ability to prioritize behaviorally relevant sensory inputs (i.e., targets) while ignoring irrelevant distractors is crucial for efficient information processing. …”
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Optical detection of beetle-related indicators and stem quality in roundwood using convolutional neural networks by Julia Achatz, Mark Schubert

“…Sorting wood based on macroscopic images using convolutional neural networks (CNN) is a cost-effective and efficient approach. However, current models focus primarily on cross-sectional images, limiting their ability to detect important features like knots and beetle infestations. …”
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Predicting the onset of chronic kidney disease (CKD) for diabetic patients with aggregated longitudinal EMR data. by Neda Aminnejad, Michelle Greiver, Huaxiong Huang

“…This research contributes valuable insights for healthcare practitioners seeking efficient tools for early CKD detection in diabetic populations.…”
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Toward Salient Key Phrase for Candidate Topic Detection by Yasser S. Jude, Wafaa Al-Hameed

“…With exponential growth of digital information, the need for efficient methods for automatic keyphrase extraction has become increasingly important. …”
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Seed Yield of Mungbean (Vigna radiata (L.) Wilczek) in relation to Growth and Developmental Aspects by M. M. A. Mondal, A. B. Puteh, M. A. Malek, M. R. Ismail, M. Y. Rafii, M. A. Latif

“…Growth parameters such as leaf area (LA), total dry mass (TDM) production, crop growth rate (CGR), relative growth rate (RGR), and net assimilation rate (NAR) were compared in six varieties of mungbean under subtropical condition (24°8′ N 90°0′ E) to identify limiting growth characters for the efficient application of physiology breeding for higher yields. …”
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Microwave assisted synthesis of fly ash based zeolites for degradation of reactive blue 19 dye from wastewater by Sanam Sadiq, Shahzad Ali Shahid Chatha, Shafaqat Ali, Mudassar Shahid, Pallab K. Sarker

“…It can be concluded that CSFA based zeolites are efficient adsorbent for the removal of reactive blue 19 dye from wastewater and may be an inexpensive and environmentally viable alternative material for wastewater treatment.…”
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Novel spirooxindole compounds as anticancer agents: targeting Plk4 kinase through design, synthesis, and molecular docking by Mervat S. Sammor, Almeqdad Y. Habashneh, Mahmoud A. Al-Sha'er, Sanaa K. Bardaweel, Mustafa M. El‐Abadelah

“…To effectively treat cancer, it is essential to develop potent Plk4 kinase inhibitors, which are promising anticancer agents due to their ability to induce cancer cell death and selectively target centrosome amplification. …”
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Design, synthesis and biological evaluation of novel kojic acid triazole hybrids as tyrosinase inhibitors and antibrowning agents by Dan Liu, Junyuan Tang, Sheng Tao, Dahan Wang, Jinbing Liu

“…Moreover, the results from molecular docking and fluorescence quenching studies revealed that 13t’s inhibitory effect on tyrosinase stemmed from its ability to directly bind to the active site of mushroom tyrosinase. …”
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Enhancing Pest Detection: Assessing Tuta absoluta (Lepidoptera: Gelechiidae) Damage Intensity in Field Images through Advanced Machine Learning by Edwin Lewıs, Atilla Erdinç, Yavuz Selim Şahin, Alperen Kaan Bütüner, Hilal Erdoğan

“…The integration of DTs in such applications, due to their unique ability to handle complex and indistinct shapes without the need for feature extraction, sets the stage for a new era of efficient and effective pest control strategies.…”
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Inspired by the Black Ghost Knifefish: Bionic Design of Undulatory Fin with 2-DOF Rays and Its Propulsion Performance by Jie Zhou, Nan Yu, Song Liu, Linbo Xin, Yuhui Liu, Guowei Gao, Zhonglai Na, Xuyan Hou

“…The concealed, mobile, and efficient underwater ability of fish provides many directions for research. …”
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Smart city: A system for measuring noise pollution by Ivan JEZDOVIĆ, Nevena NEDELJKOVIĆ, Lazar ŽIVOJINOVIĆ, Božidar RADENKOVIĆ, Aleksandra LABUS

“…After analyzing data from different parts of the city, we have the ability to create noise maps that indicate the magnitude of the noise pollution for those city blocks. …”
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A Novel Method of Data Protection Through DNA Chromosome Databases by Sadoon Hussein, Ahmed Sami

“…DNA provides superior capabilities due to its high and efficient storage capacity and long lifespan. Protecting these data is of utmost importance, especially data with sensitive content. …”
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