Towards an Efficient Remote Sensing Image Compression Network with Visual State Space Model by Yongqiang Wang, Feng Liang, Shang Wang, Hang Chen, Qi Cao, Haisheng Fu, Zhenjiao Chen

“…To alleviate this issue, we propose a learned remote sensing image compression network with visual state space model named VMIC to achieve a better trade-off between computational complexity and performance. Specifically, instead of stacking small convolution kernels or heavy self-attention mechanisms, we employ a 2D-bidirectional selective scan mechanism. …”
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Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm by Tawfiq Hasanin, Aisha Alsobhi, Adil Khadidos, Ayman Qahmash, Alaa Khadidos, Gabriel Ayodeji Ogunmola

“…Then, the simulation is done to show the efficiency and stability by reducing the offloading latency.…”
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Design Technique and Efficient Polyphase Implementation for 2D Elliptically Shaped FIR Filters by Doru Florin Chiper, Radu Matei

“…Then, the original image was accurately reconstructed from its sub-band images. Very selective directional elliptical filters can be used in efficiently extracting straight lines with specified orientations from images, as shown in simulation examples. …”
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PixelCraftSR: Efficient Super-Resolution with Multi-Agent Reinforcement for Edge Devices by M. J. Aashik Rasool, Shabir Ahmed, S. M. A. Sharif, Mardieva Sevara, Taeg Keun Whangbo

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Monte Carlo Integration With Efficient Importance Sampling for Underwater Wireless Optical Communication Simulation by Ruqin Xiao, Pierre Combeau, Lilian Aveneau

“…The development of dedicated communication systems requires intensive simulation of use cases with efficient methods, both in terms of accuracy and computational time. …”
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Optimizing heat exchanger efficiency: Predictive modeling to minimize fouling in crude oil refining by Kouidri Ikram, Kaid-Ameur Djilali, Nadjem Bailek, Jihad A. Younis, Dahmani Abdennasser, Raheem Al-Sabur, Bilel Zerouali, Lorenc Malka, Celso Augusto Guimarães Santos, Ilhami Colak

“…Model fitting was conducted using approaches of varying complexity, with measures taken to avoid overfitting. …”
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Germplasm Selection and Comprehensive Evaluation of Maize Inbred Lines at Germination and Seedling Stage for Saline–Alkali Tolerance by Shaoqi Ren, Jian Tan, Shuna Zhou, Haixiao Sun, Honggang Li, Wenjin Li, Nuo Li, Jinfeng Wu, Xuejiao Ren, Jiabin Ci, Weiguang Yang

“…The results indicate complex correlations among various traits at different growth stages. …”
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Selection of the optimal medical waste incineration facility location: A challenge of medical waste risk management by Stanojević Kristina, Radovanović Goran, Makajić-Nikolić Dragana, Savić Gordana, Simeunović Barbara, Petrović Nataša

“…In the proposed methodology on the chosen scenario and analysing the criteria relevant for selecting the most suitable location, using the DEA method, seven efficient locations for MW incineration facility were obtained. …”
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A novel Complex q-rung orthopair fuzzy Yager aggregation operators and their applications in environmental engineering by Jabbar Ahmmad, Tahir Mahmood, Dragan Pamucar, Hafiz Muhammad Waqas

“…We have introduced aggregation theory named complex q-rung orthopair fuzzy Yager weighted average and complex q-rung orthopair fuzzy Yager weighted geometric aggregation operators in Cartesian form. …”
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UAV Path Planners in Complex Environments: A Multi-Dimensional Perturbation Based on Artificial Bee Colony by Xuzhao Chai, Guanhao Zhou, Haoyu Wang, Ping Liu, Zhongyun Liu, Chao Li, Li Yan

“…The multi-dimensional perturbation strategy is introduced in the employed bee phase to balance exploration and exploitation through preferential and random selection. In the onlooker bee phase, the curvature-guided elite neighbor search strategy is used to prioritizes high-curvature waypoints, enhancing optimization efficiency in complex terrain. …”
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Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches. by Alberto Porta, Luca Faes, Vlasta Bari, Andrea Marchi, Tito Bassani, Giandomenico Nollo, Natália Maria Perseguini, Juliana Milan, Vinícius Minatel, Audrey Borghi-Silva, Anielle C M Takahashi, Aparecida M Catai

“…We found that: 1) MF approaches are more efficient than the MB method when nonlinear components are present, while the reverse situation holds in presence of high dimensional embedding spaces; 2) the CE method is the least powerful in detecting age-related trends; 3) the association of HP complexity on age suggests an impairment of cardiac regulation and response to STAND; 4) the relation of SAP complexity on age indicates a gradual increase of sympathetic activity and a reduced responsiveness of vasomotor control to STAND; 5) the association from SAP to HP on age during STAND reveals a progressive inefficiency of baroreflex; 6) the reduced connection from HP to SAP with age might be linked to the progressive exploitation of Frank-Starling mechanism at REST and to the progressive increase of peripheral resistances during STAND; 7) at REST the diminished association from RESP to HP with age suggests a vagal withdrawal and a gradual uncoupling between respiratory activity and heart; 8) the weakened connection from RESP to SAP with age might be related to the progressive increase of left ventricular thickness and vascular stiffness and to the gradual decrease of respiratory sinus arrhythmia.…”
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Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases by Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Saravanapriya Kumar, Ayodele Lasisi, Quadri Noorulhasan Naveed, Anjanabhargavi Kulkarni, Abdulrajak Buradi, Addisu Frinjo Emma, Naoufel Kraiem

“…These algorithms aim to address the challenges of feature selection, computational complexity, and disease classification accuracy. …”
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Impact of Mobile Phase Composition on Separation Selectivity of Labeled Dextran Ladder in Hydrophilic Interaction Liquid Chromatography by Matjaž Grčman, Niko R. Pompe, Drago Kočar, Matevž Pompe

“…It was assumed that the addition of methanol influences the folding pattern of dextrans around the permanent positive charge on the added tag, which influences the changes of separation selectivity. This work presents a systematic approach to altering mobile phase composition (buffer concentration, organic modifier type) to control retention and selectivity in complex glycan analysis. …”
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MSCPUnet: A multi-task neural network for plot-level crop classification in complex agricultural areas by Kedi Fang, Shengwei Zhang, Yongting Han, Lin Yang, Meng Luo, Lu Liu, Qian Zhang, Bo Wang

“…High-precision mapping of agricultural crops in complex planting areas is a prerequisite for precision agricultural management. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…ObjectiveUAVs provide advantages such as easy control, low cost, and good performance, and efficiently perform tasks in diverse sites and complex environments. …”
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Toward a thermodynamic theory of evolution: a theoretical perspective on information entropy reduction and the emergence of complexity by Carlos Mendoza Montano

“…It generates the structural and informational complexity upon which natural selection acts, whereas mutation and selection refine and stabilize those configurations that most effectively manage energy and information. …”
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Enhancing PV power forecasting through feature selection and artificial neural networks: a case study by Mokhtar Ali, Abdelhalim Rabehi, Abdelkerim Souahlia, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem, Takele Ferede Agajie

“…For instance, integrating ReliefF with MLP reduced the normalized mean absolute error (nMAE) to 9.21% with an R2 of 0.9608, while the best LSTM configuration achieved an nMAE of 9.29% and an R2 of 0.946 when using Chi-square selected features. These findings confirm that careful feature selection enhances model performance, reduces complexity, and ensures better generalization, offering valuable insights for more efficient solar energy management and grid stability.…”
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Innovative Integration of Citric Acid Leaching and Electrodialysis for Selective Lithium Recovery from NMC Cathode Material by Soukayna Badre-Eddine, Laurence Muhr, Alexandre Chagnes

“…This study demonstrates that the complexing properties of citrate anions contribute to the efficient separation of Li from Ni, Co, and Mn by electrodialysis. …”
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Innovative Powder Reuse Strategy in the Selective Laser Sintering Process Using a Fluidized Bed System by Daniele Sofia, Rossella Girimonte

“…This study introduces an innovative method for the recovery and reuse of unsintered powder in the Selective Laser Sintering (SLS) process, widely used in additive manufacturing for creating complex components with a broad range of powder materials. …”
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Selective Cleaning Enhances Machine Learning Accuracy for Drug Repurposing: Multiscale Discovery of MDM2 Inhibitors by Mohammad Firdaus Akmal, Ming Wah Wong

“…Quantum mechanical (ONIOM) optimizations and molecular dynamics simulations confirmed the stability and favorable interaction profiles of the selected protein–ligand complexes, resembling that of navtemadlin, a known MDM2 inhibitor. …”
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