Localization of Sensor Nodes in 3D Wireless Sensor Networks with a Single Anchor by an Improved Adaptive Artificial Bee Colony (iaABC) Algorithm by Dursun Ekmekci, Hüseyin Altınkaya

“…Furthermore, the success of locating moving nodes in a 3D space is closely linked to the overall efficiency of the network. This study proposes a solution that can detect the locations of target nodes at various levels using a single anchor node. …”
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A Deep Learning Approach to Evaluating SISO-OFDM Channel Equalization by Saja S Hanoon, Hasan F Khazal, Thamer M Jamel

“… Channel equalization is crucial to the efficiency of wireless network systems. To improve communication reliability and decrease computing complexity, 5G networks have made great progress with the help of deep learning (DL). …”
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A Review of Traditional and Advanced MPPT Approaches for PV Systems Under Uniformly Insolation and Partially Shaded Conditions by Mustafa Sacid Endiz, Göksel Gökkuş, Atıl Emre Coşgun, Hasan Demir

“…Existing research clearly demonstrates that the advanced techniques exhibit superior efficiency in comparison to traditional methods, although at the cost of increased design complexity and higher expenses. …”
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Economic diagnosis of operational activities of an industrial enterprise based on business indicators by E. Yu. Belova, A. V. Badina

“…In modern conditions of uncertainty, dynamism, and insufficient predictability, with consideration to complexity and goal-oriented nature of production and economic systems, there arises a necessity for regular monitoring of conditions of their internal and external environments and responding to ongoing changes. …”
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Enhanced hybrid pre-coding and power allocation algorithms for smart irrigation systems using OFDM-based WSNs. by Emad S Hassan

“…The use of linear pre-coding provides an efficient and simple solution to mitigate channel fading. …”
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Optimizing SVC placement for enhanced voltage stability using a novel index and hybrid ABC-PSO algorithm by Hafizur Rahman, Roman Mia, Mustafizur Rahman, Md. Faiyaj Ahmed Limon, Md. Shahid Iqbal, Md. Fahad Jubayer, Md. Rabiul Karim, Md. Janibul Alam Soeb

“…These findings demonstrate the robustness and practicality of the methodology and provide system operators with a robust means to ensure grid stability, operational efficiency, and enhanced resilience in the face of increasing load and system complexity.…”
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Load identification method based on one class classification combined with fuzzy broad learning by Wang Yi, Wang Xiaoyang, Li Songnong, Chen Tao, Hou Xingzhe, Fu Xiuyuan

“…Considering the recognition rate and model complexity, the fuzzy broad learning system is used to classify and recognize the screened samples. …”
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An Orthogonal Protection Strategy for the Synthesis of Conotoxins Containing Three Disulfide Bonds by Hengyu Zhang, Lai Yue Chan, Huanhuan Zhang, Tao Jiang, David J. Craik, Wenqing Cai, Rilei Yu

“…We have developed a method for synthesizing conotoxins with three disulfide bonds using Mob, Trt, and Acm protection groups for regionally selective synthesis. This approach enabled the efficient synthesis of peptides with the desired disulfide bond connectivities independent of their sequences. …”
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Design Considerations for 1.6 Tbit/s Data Center Interconnects: Evaluating IM/DD and Coherent Transmission over O-Band Transmission Window by Adrian A. Juarez, Yanjun Zhu, Xin Chen, Ming-Jun Li

“…Yet, reducing coherent transmission complexity is desirable for cost-effective and power-efficient data center applications. …”
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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

“…Hyperspectral image data consist of hundreds of spectral bands, resulting in large data volumes that are not suitable for rapid detection applications. 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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Sugarcane leaf disease classification using deep neural network approach by Saravanan Srinivasan, S. M. Prabin, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Suresh Kulandaivelu, Mohd Asif Shah

“…Discussion The study demonstrates the effectiveness of DL models, particularly EfficientNet-B7 and DenseNet201, for fast, accurate, and automatic disease detection in sugarcane leaves. …”
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The content of heavy metals in the aerial parts of the common nettle and sun spurge from Oštrelj (municipality of Bor): A contribution to the examinations of plant biomonitoring an... by Zoran O. Stevanović, Slađana Č. Alagić, Snežana B. Tošić

“…The most abundant detected metal in both plant species was Cu, with the notification that its concentrations reached even phytotoxic levels. …”
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Parallel Agent-Based Framework for Analyzing Urban Agricultural Supply Chains by Manuel Ignacio Manríquez, Veronica Gil-Costa, Mauricio Marin

“…The system integrates agent-based and discrete event techniques to capture the complex interactions among farmers, vendors, and consumers in urban agricultural supply chains. …”
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Optimization Techniques for Low-Level Control of DC–AC Converters in Renewable-Integrated Microgrids: A Brief Review by Guilherme Vieira Hollweg, Gajendra Singh Chawda, Shivam Chaturvedi, Van-Hai Bui, Wencong Su

“…The optimization of low-level control for DC–AC power converters is crucial for enhancing efficiency, stability, and adaptability in modern power systems. …”
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The effect of technology stress on knowledge concealment with the mediating role of job fatigue and moderating work autonomy by Hossein Jamali, Mehdi Kabirinaeini, Zeynab Elahi

“…Also, providing rewards and incentives for independent and creative performance can lead to increased employee productivity and strengthen their sense of responsibility.In addition, the use of efficient and simple technologies that do not require complex and time-consuming interactions with difficult systems can play an important role in reducing technology-induced stress. …”
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Classification of pulmonary diseases from chest radiographs using deep transfer learning. by Muneeba Shamas, Huma Tauseef, Ashfaq Ahmad, Ali Raza, Yazeed Yasin Ghadi, Orken Mamyrbayev, Kymbat Momynzhanova, Tahani Jaser Alahmadi

“…In clinical practice, diagnosing pulmonary diseases using chest radiographs is challenging due to Overlapping and complex anatomical Structures, variability in radiographs, and their quality. …”
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High-energy dual-energy computed tomography for the characterization of large and thick objects by Alix Sardet, Daniel Eck, Nicolas Estre, Frédéric Moutet, Emmanuel Payan, Cécilia Tarpau

“…When inspecting complex objects composed of a large number of differents materials, this choice can be crucial. …”
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Importance of forensic accounting in the process of making decisions by the top management by Dragan Cvetković, Ljiljana Dimitrijević, Slaviša Đorđević

“…In modern business conditions, more and more attention is paid to the introduction of forensic accounting into the regular operations of the company and its development, in order to achieve more efficient and effective controls of all organizational parts in the company. …”
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Towards the Optimization of Apodized Resonators by Ana Valenzuela-Pérez, Carlos Collado, Jordi Mateu

“…To address this, we extend a previously published model (named the Quasi-3D model), which employs the Transmission Line Matrix (TLM) method, enabling efficient simulations of complex geometries with more precise meshing. …”
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Simplified radar architecture based on information metasurface by Si Ran Wang, Zhan Ye Chen, Shao Nan Chen, Jun Yan Dai, Jun Wei Zhang, Zhen Jie Qi, Li Jie Wu, Meng Ke Sun, Qun Yan Zhou, Hui Dong Li, Zhang Jie Luo, Qiang Cheng, Tie Jun Cui

“…This study presents an innovative radar system paradigm that integrates RF front ends and signal processors onto an information metasurface platform, achieving essential sensing functions with reduced system complexity and cost.…”
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