PAMFPN: Position-Aware Multi-Kernel Feature Pyramid Network with Adaptive Sparse Attention for Robust Object Detection in Remote Sensing Imagery by Xiaofei Yang, Suihua Xue, Lin Li, Sihuan Li, Yudong Fang, Xiaofeng Zhang, Xiaohui Huang

“…This work bridges the gap between efficient computation and robust feature fusion in remote sensing detection, offering a universal solution for real-world applications.…”
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High yield gluconic acid leaching and recovery of valuable metals from end-of-life lithium-ion batteries by Reinhard Lerchbammer, Eva Gerold, Helmut Antrekowitsch

“…Beyond reducing the ecological footprint of leaching processes, organic acids offer improved selectivity and efficiency in metal recovery. Among them, gluconic acid has proven to be a particularly effective agent for the extraction of valuable metals.Through statistical optimization, the leaching process achieved extraction efficiencies exceeding 98 % for lithium, nickel, cobalt, and manganese from end-of-life lithium-ion batteries (EoL-LIBs), while significantly limiting the co-dissolution of copper, iron, and aluminum.Subsequently, nickel, cobalt, and manganese were selectively recovered through precipitation using oxalic and sulphide agents. …”
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Optimization of Business Processes Through BPM Methodology: A Case Study on Data Analysis and Performance Improvement by António Ricardo Teixeira, José Vasconcelos Ferreira, Ana Luísa Ramos

“…The redesign strategy focused on selective automation using Python 3.10 scripts and Power BI dashboards, incorporating techniques such as linear programming and forecasting to improve process efficiency and quality while maintaining flexibility. …”
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Nurses’ Knowledge and Attitudes Regarding Artificial Intelligence Technology in Iraq by Islam Mohammed Khalil, Amean A Yasir

“…Objectives: Artificial intelligence (AI) can potentially improve the effectiveness, accuracy, and quality of nursing practice by reducing workload and freeing nurses to concentrate on complex decision-making and direct patient care. This study aimed to assess nurses’ attitudes toward and knowledge of AI technology. …”
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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…Additionally, we can apply the discussed decision-making methodologies to resolve complex real-life applications, such as renewable energy, medical diagnosis, multi-robotic systems, social selections, and computational and environmental sciences.…”
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Quantification of Phenolic Compounds in Olive Oils by Near-Infrared Spectroscopy and Multiple Regression: Effects of Cultivar, Hydroxytyrosol Supplementation, and Deep-Frying by Taha Mehany, José M. González-Sáiz, Consuelo Pizarro

“…HTyr supplementation significantly increased both HTyr and Tyr levels in non-fried and fried supplemented oils, with HTyr rising from single digits in some controls (around 0 mg/kg) to over 300 mg/kg in most of the supplemented samples. SELECT efficiently reduced redundancy by selecting the most vital wavelengths and thus significantly improved the regression models for key phenolic compounds, including HTyr, Tyr, caffeic acid, decarboxymethyl ligstroside aglycone in dialdehyde form (oleocanthal), decarboxymethyl oleuropein aglycone in dialdehyde form (oleacein), homovanillic acid, pinoresinol, oleuropein aglycone in oxidized aldehyde and hydroxylic form (OAOAH), ligstroside aglycone in oxidized aldehyde and hydroxylic form (LAOAH), and total phenolic content (TPC), achieving correlation coefficients (R) of 0.91–0.98. …”
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Recommended cucumber hybrids for growing in greenhouses under conditions artificial lighting by V. G. Korol

“…The development of light culture in the country allows greenhouse complexes to use their greenhouses year-round, significantly increase plant productivity, receive most of the harvest in the winter months of the year and sell it at a higher price. …”
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Demand side management with electric vehicles and optimal renewable resources integration under system uncertainties by Mohamed Mostafa Eissa, Rania Abdel Wahed Swief, Tarek Saad Abdel Salam

“…This should be smartly attained through selecting efficient optimization techniques to improve power quality, voltage profile, and reliability. …”
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Binary solvent extraction of intracellular lipids from Rhodotorula toruloides for cell recycling by Jingyi Song, Rasool Kamal, Yadong Chu, Shiyu Liang, Zongbao K. Zhao, Qitian Huang

“…The process involves the separation of lipids from microbial cells. Given the complexity of microbial cell walls and the demand for efficient and environmentally friendly extraction methods, further research is still needed in this area. …”
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Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection by Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis, Iosif Mporas

“…Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, various optimization options, frameworks and libraries are available that need to be explored, third, a wide range of edge devices are available with different computation and memory constraints. …”
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Leaching of copper slags in sulphuric acid and alkaline glycine media by Mauricio Mura, Ignacio Castillo, Pía C. Hernández, Felipe M. Galleguillos Madrid, Eleazar Salinas-Rodríguez, Jonathan Castillo, Álvaro Soliz, Edelmira Gálvez, Norman Toro

“…The operating parameters such as concentration, temperature, particle size are compared in these leaching media, highlighting glycine with high selectivity and efficiency unlike sulfuric acid in alkaline conditions to leach copper. …”
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Hyperspectral signature-band extraction and adaptation for sugar content prediction on Ziziphus mauritiana and Syzygium samarangense by Yung-Jhe Yan, Jen-Tzung Chien, Zi-Yin Hong, Wen-Li Lee, Kuo-Dung Chiou, Chi-Cho Huang, Mang Ou-Yang

“…Eight signature bands were selected through a systematic feature extraction process to address these limitations, reducing data dimensionality and acquisition complexity. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The algorithms (RF and STR) with the smallest Mean Absolute Error (MAE) and the highest residual error (RMSE) and the highest correlation coefficient (RP2) were selected for further parameter optimization and evaluation. …”
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Bioactive compounds in fermented foods: Health benefits, safety, and future perspectives by Solomon Fitsum, Gebreselema Gebreyohannes, Desta Berhe Sbhatu

“…While traditional methods involve complex microbial interactions that result in inconsistent bioactive profiles, industrial fermentation utilizes selected strains to maximize efficiency and standardize outcomes. …”
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Potential of Low-Cost UAV Photogrammetry for Documenting Hard-to-Access Interior Spaces Through Building Openings by Marián Marčiš, Marek Fraštia, Katarína Terao Vošková

“…However, due to the considerable diversity of cultural heritage, there are practical demands for the measurement of complex and inaccessible objects in interior spaces. …”
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Adsorptive Removal of Dyes: A Comparison of Graphene Oxide to Granular Activated Carbon and Zeolite NaY by Niloufar Nekouei Marnani, F. Handan Tezel, Onita D. Basu

“…Overall, GO demonstrated a more robust and higher removal efficiency of cationic dyes compared with GAC and NaY, indicating the potential of graphene oxide for the removal of complex structured organic contaminants in wastewater treatment.…”
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FORECASTING OF PRODUCTION OUTPUT FOR LIGHT INDUSTRY ENTERPRISES WITH PURPOSE TO DETERMINE THEIR POWER RESOURCES REQUIREMENTS. Part 2 by V. N. Romaniuk, D. B. Muslina

“…The so-called “Game with Nature” has been selected as a game which is widely used for solution of analogous demand problems. …”
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Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…The Dueling DQN alleviates the complexity of simultaneous offloading and resource allocation decisions, with each branch independently controlling a subset of the decision variables to scale efficiently with an increasing number of IoT devices, thereby avoiding the combinatorial explosion of potential actions. …”
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Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering. by Xini Fang

“…Firstly, based on operational risk theory, market risk, research and development risk, financial risk, and human resource risk are selected as the primary indicators for enterprise risk assessment. …”
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RABP: Delay/disruption tolerant network routing and buffer management algorithm based on weight by Hezhe Wang, Guangsheng Feng, Huiqiang Wang, Hongwu Lv, Renjie Zhou

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