Cell density quantification of high resolution Nissl images of the juvenile rat brain by Julie Meystre, Jean Jacquemier, Olivier Burri, Csaba Zsolnai, Nicolas Frank, João Prado Vieira, Ying Shi, Ying Shi, Rodrigo Perin, Daniel Keller, Henry Markram, Henry Markram

“…To analyze this dataset, we developed a semi-automated pipeline using open-source software to perform cell density quantification in the primary somatosensory hindlimb (S1HL) cortical column. …”
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A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning by Zemin Eitan Liu, Wennan Long, Zhenlin Chen, James Littlefield, Liang Jing, Bo Ren, Hassan M. El-Houjeiri, Amjaad S. Qahtani, Muhammad Y. Jabbar, Mohammad S. Masnadi

“…Natural gas is an emerging and reliable energy source in transition to a low-carbon economy. The natural gas transportation pipeline network systems are crucial when transporting natural gas from the production endpoints to processing or consuming endpoints. …”
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Internet of Things and Distributed Computing Systems in Business Models by Albérico Travassos Rosário, Ricardo Raimundo

“…IoT devices allow immediate monitoring of equipment and processes, mitigating lost time and enhancing efficiency. In this case, manufacturing companies use IoT sensors to monitor machinery, predict failures, and schedule maintenance. …”
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Blockchain-Assisted Generation Rescheduling in Imperfect Market Environments by Salman Tariq, Mohamed Shaaban, Hazlie Mokhlis, Nurulafiqah N. Mansor, Hasmaini Mohamad

“…The proposed BC-based structure allows generators to participate in the short-term scheduling mechanism (such as day-ahead) in a trust-free environment without sharing their vital data yet achieving efficient, market-grade solutions. The feasibility of this new proposition is demonstrated through three different application scenarios, utilizing real-world load and renewable generation profiles sourced from the respective Grid System Operators databases. …”
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Recent HPLC-UV Approaches for Cannabinoid Analysis: From Extraction to Method Validation and Quantification Compliance by Eduarda M. P. Silva, Antonella Vitiello, Agnese Miro, Carlos J. A. Ribeiro

“…Notably, ultrasound extraction has emerged as the most widely utilized technique across various matrices, with Deep Eutectic Solvents (DESs) offering a promising, efficient, and environmentally friendly extraction alternative. …”
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An Optimal Sizing Methodology for a Wind/PV Hybrid Energy Production System for Agricultural Irrigation in Skikda, Algeria by Nadhir Abderrahmane, Allaoua Brahmia, Adlen Kerboua, Ridha Kelaiaia

“…The proposed approach integrates two main renewable energy sources (while eliminating the use of traditional batteries for electrical energy storage): solar and wind. …”
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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…To manage the developing intricacy of cyberattacks, it is critical to have an effectual intrusion detection system (IDS), which can monitor computer sources and create data on suspicious or abnormal actions. …”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…The cross-domain research in data fusion strives to integrate information from multiple sources to augment reliability and minimize errors in detecting sophisticated cyber threats. …”
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Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…MDBM learns shared representations out of heterogeneous data sources, MVAE captures the inherent distribution of multi-modalities, while the mechanism of attention in fusion networks is done to stress important features. …”
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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids. by Saad Hammood Mohammed, Mandeep S Jit Singh, Abdulmajeed Al-Jumaily, Mohammad Tariqul Islam, Md Shabiul Islam, Abdulmajeed M Alenezi, Mohamed S Soliman

“…Modernizing power systems into smart grids has introduced numerous benefits, including enhanced efficiency, reliability, and integration of renewable energy sources. …”
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Weighting Optimization for Fuel Cell Hybrid Vehicles: Lifetime-Conscious Component Sizing and Energy Management by Xuanyu Xiao, Chen Shu, Huaiwei Dong, Yujun Tang, Jinfeng Feng, Hao Yuan, Shuzhan Bai, Sipeng Zhu, Guoxiang Li

“…A unified cost function is proposed, combining fuel economy and system durability through a weighting coefficient, based on a comprehensive model of the hydrogen consumption and degradation characteristics of fuel cells and batteries. Utilizing the dynamic programming (DP) algorithm, the total cost is optimized to derive the optimal weighting factors and component sizing, effectively addressing the multi-objective optimization problem and balancing efficiency and durability. …”
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A study on automatic annotation methods for watershed environmental elements based on semantic segmentation models by Peipei He, Taoxing Shen, Yafei Wang, Dantong Zhu, Qingfeng Hu, Hui Li, Weibo Yin, Yi Zhang, Ang Yang

“…Hence, experiments are conducted in three modules: (1) Determination of watershed environmental element sample types. (2) Semi-automated annotated sample production method. This study utilizes the Random Forest classifier (RF) and Segment Anything Model (SAM) to create label sets, replacing open-source land cover datasets to achieve superior watershed-environment segmentation results. (3) Comparison of different neural network segmentation capabilities. …”
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Nature's nanofactories: biogenic synthesis of metal nanoparticles for sustainable technologies by Syed Tawab Shah, Ira Puspita Sari, Dede Heri Yuli Yanto, Zaira Zaman Chowdhury, Muhammad Nasir Bashir, Irfan Anjum Badruddin, Mohamed Hussien, Joon Sang Lee

“…Biogenic nanoparticles have the potential to address several of the United Nations Sustainable Development Goals (SDGs), such as clean water and sanitation, affordable energy sources that don't pollute, responsible consumption and production practices, climate action plans and life on land. …”
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Online Review-Assisted Product Improvement Attribute Extraction and Prioritization Method for Small- and Medium-Sized Enterprises by Keqin Wang, Angqi Lei, Zhihong Huang, Zhijiao Gao, Qingyu Ma, Chen Zheng, Jing Li, Benoît Eynard, Jinhua Xiao

“…Furthermore, a marginal utility-based approach is employed to prioritize product improvement attributes quantitatively, ensuring that the most impactful attributes are addressed efficiently. …”
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Enhancing Device Performance with High Electron Mobility GeSn Materials by Yannik Junk, Omar Concepción, Marvin Frauenrath, Jingxuan Sun, Jin Hee Bae, Florian Bärwolf, Andreas Mai, Jean‐Michel Hartmann, Detlev Grützmacher, Dan Buca, Qing‐Tai Zhao

“…The present results underline the real potential of the GeSn alloys to bring performance and energy efficiency to future nanoelectronics applications.…”
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Predicting biomass transportation costs: A machine learning approach for enhanced biofuel competitiveness by Ali Omidkar, Razieh Es’haghian, Hua Song

“…For many low-cost or residue-based biomass feedstocks, the transportation cost represents a substantial portion of the total delivered price, often dominating the overall feedstock cost—especially when sourced from widely distributed or small-scale suppliers. …”
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Internet-Delivered Cognitive Behavioral Therapy to Treat Insomnia: A Systematic Review and Meta-Analysis. by Michael Seyffert, Pooja Lagisetty, Jessica Landgraf, Vineet Chopra, Paul N Pfeiffer, Marisa L Conte, Mary A M Rogers

“…<h4>Results</h4>We found 15 trials, all utilizing a pretest-posttest randomized control group design. …”
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Loss of olfaction reduces caterpillar performance and increases susceptibility to a natural enemy by Qi Wang, Yufei Jia, Hans M Smid, Berhane T Weldegergis, Liana O Greenberg, Maarten Jongsma, Marcel Dicke, Alexander Haverkamp

“…After analyzing the volatile compounds involved in these interactions, we concluded that olfactory information enables caterpillars to locate suitable food sources more efficiently as well as to select enemy-free spaces. …”
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Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect by Wala Bin Subait, Nazir Ahmad, Muhammad Swaileh A. Alzaidi, Mohammed Alqahtani, Asma A. Alhashmi, Nojood O. Aljehane, Mohammed Alshahrani, Shoayee Dlaim Alotaibi

“…The transformers and recurrent neural networks (RNNs) are DL approaches that have accomplished extraordinary results in many NLP tasks since they do not trust huge knowledge sources or handcrafted features. Thus, this study introduces a novel Northern Goshawk Optimization with Artificial Intelligence for Arabic Named Entity Recognition (NGOAI-ANER) technique in Moroccan Dialect. …”
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Lithiophilic 3D-Si/SiOx host for dendrite free lithium metal battery via simple magnesiothermic reduction process by Asif Raza, Jae-Yeon Bang, Hyo-Yeong Kim, Jeong-Hee Choi, Hae-Young Choi, Sang-Min Lee

“…In the development of renewable energy sources, batteries are considered the best option for energy storage. …”
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