Article
Multidisciplinary Sciences
Ta-Feng Lou, Wei-Hsi Hung
Summary: The purpose of our bibliometric research was to analyze the trends of neural networks and genetic algorithms, two well-known classical AI algorithms. We referred to the innovative research articles published in Symmetry to explore new applications for these algorithms. By searching the SSCI database, we obtained 951 publications on neural networks and 878 publications on genetic algorithms, which were categorized into eight groups for deep analysis. The results showed that the use of neural networks is growing more rapidly than genetic algorithms, mainly due to the boom in deep learning development.
Article
Computer Science, Artificial Intelligence
Mehmet Ozcalici, Mete Bumin
Summary: In this study, filter rule parameters were optimized using genetic algorithms and stock selection was performed with artificial neural networks to achieve excess returns over the market average. The results suggest that Borsa Istanbul may be a weak form efficient market, but utilizing artificial neural networks can lead to higher profits for investors.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Mehmet Ozcalici, Mete Bumin
Summary: The study explores the use of filter rule and genetic algorithm for identifying profitable trading points in stock markets, and utilizes artificial neural networks for stock selection. The results demonstrate significantly higher returns for the selected stocks compared to the buy and hold strategy.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Construction & Building Technology
Xiaorui Zhang, Frederic Otto, Markus Oeser
Summary: An ANN-based back-calculating program combined with a GA optimization algorithm was developed to back-calculate flexible pavement layer moduli. The moduli of asphaltic layers decreased with temperature and number of APT load cycles, while the unbound base layer and subgrade moduli were insensitive to temperature changes. The integrated GABP algorithm showed potential in accurately back-calculating pavement layer moduli from geophone measured deflections.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Mechanics
Xiaoyang Liu, Jian Qin, Kai Zhao, Carol A. Featherston, David Kennedy, Yucai Jing, Guotao Yang
Summary: This paper proposes an efficient method for minimum weight optimization of composite laminates using artificial neural network (ANN) based surrogate models. By predicting the buckling loads of the laminates using ANN, the need for time-consuming buckling evaluations in the optimization process is eliminated. The use of lamination parameters and other dimensional inputs significantly reduces the number of required models and computational cost.
COMPOSITE STRUCTURES
(2023)
Article
Chemistry, Applied
S. Abdullah, Rama Chandra Pradhan, Dileswar Pradhan, Sabyasachi Mishra
Summary: In this study, the pectinase-assisted extraction of cashew apple juice was modeled and optimized using a multi-layer artificial neural network coupled with genetic algorithm. The experimental results showed a good agreement between the predicted values and the actual values.
Article
Engineering, Marine
Xin-Jiang Wei, Xiao Wang, Gang Wei, Cheng-Wei Zhu, Yu Shi
Summary: The study aims to predict the jacking forces during vertical tunneling construction process using artificial neural networks (ANNs) and hybrid genetic algorithm optimized ANNs (GA-ANNs). The GA-ANN models perform better than the ANN model, especially on RMSE values. The height of overlaying water, average jacking speed, and geological condition are identified as the most effective input parameters on the jacking force in this study.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Environmental Sciences
Carlin Geor Malar, Muthulingam Seenuvasan, Mohanraj Murugesan, S. B. Ron Carter, Kannaiyan Sathish Kumar
Summary: The presence of urea in runoff from fertilized soil could contribute to the growth of dangerous blooms. Integrating enzymatic urea hydrolysis with nanotechnology can significantly reduce diffusion barriers. A model developed using a Genetic Algorithm and an Artificial Neural Network showed that the system's diffusion restrictions were reduced. Additionally, a neural network with one hidden layer and 20 neurons demonstrated the highest output and least mean square error.
Article
Food Science & Technology
G. V. S. Bhagya Raj, Kshirod K. Dash
Summary: The freeze-drying encapsulation process was optimized for dragon fruit peel extract using artificial neural network and genetic algorithm, yielding the optimal composition of wall materials and ultrasonication power. The predicted values for various responses were obtained under the optimal conditions, with a low relative deviation between the predicted model and experimental outcomes. The thermal stability of the encapsulated powder was also examined, showing differences based on pH levels.
FOOD AND BIOPROCESS TECHNOLOGY
(2022)
Article
Energy & Fuels
K. Venkateshwar, S. H. Tasnim, S. A. Gadsden, S. Mahmud
Summary: This study aims to enhance the performance of Thermal Energy Storage (TES) system by optimizing the porosity distribution of graded metal foam. A numerical model is used to quantify the influence of graded metal foam on heat transfer rate, and an Artificial Neural Network (ANN) model is trained to optimize the porosity distribution using a Genetic algorithm. The results demonstrated significant heat transfer enhancement with the optimal porosity distribution.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Computer Science, Artificial Intelligence
Nur Ezlin Zamri, Siti Aishah Azhar, Siti Syatirah Muhammad Sidik, Mohd Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin, Siti Pateema Azeyan Pakruddin, Nurul Atirah Pauzi, Siti Nurhidayah Mat Nawi
Summary: This study addresses the overfitting problem of the existing Discrete Hopfield Neural Network in handling real-life optimization problems by introducing a non-systematic Satisfiability model that promotes diversification of solutions. Experimental results show that the Genetic Algorithm outperforms other algorithms in optimizing the logic and training phases.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Engineering, Marine
Kai Zhu, Hongda Shi, Meng Han, Feifei Cao
Summary: This study investigates the influence of spatial configuration of a wave energy converter (WEC) array on total power output. A power prediction model, consisting of an automatic generation model for training samples and an artificial neural network (ANN) adaptive training model improved by adaptive genetic algorithm (AGA), has been proposed to improve the efficiency of calculating total power from the array. The results show similar optimal layouts for arrays with different numbers of devices under irregular wave conditions, indicating potential extrapolation to larger arrays.
Article
Mechanics
Shahram Hosseini, Amin Farrokhabadi, Dimitrios Chronopoulos
Summary: This research investigates the compressive nonlinear response of a sinusoidal shape memory unit cell and optimizes different architectures with diverse thicknesses. The experimental results show that the proposed sinusoidal structure possesses an attractive mechanical behavior and the absorbed energy and maximum force both decrease in each cycle.
COMPOSITE STRUCTURES
(2023)
Article
Construction & Building Technology
Ning Li
Summary: Air conditioning systems play a crucial role in our daily lives, and their control is closely linked to system intelligence, indoor comfort, and energy consumption. Artificial neural networks (ANN) and genetic algorithms (GA) are two popular intelligent control methods. However, there is currently no guidance on the suitability of these methods for air conditioning system control. This study developed and experimentally verified an ANN control strategy and a GA control strategy. The results showed that both strategies effectively controlled the air conditioning system under different commands. The ANN strategy demonstrated better convergence speed and energy consumption, while the GA strategy excelled in maintaining system stability.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Mechanics
Mohammadjavad Zeinali, Gholamhossein Rahimi, Shahram Hosseini
Summary: This research investigates the optimization of geometric parameters of a 3-layer composite plate with an elliptical cutout using an artificial neural network and genetic algorithm. The objective is to obtain the minimum ratio of linear buckling load to weight and the ratio of ellipse diameters. The results show that the Levenberg-Marquardt algorithm is more accurate compared to other algorithms. The optimal values for the angle of the ellipse with the horizontal axis, the fiber angle of the middle layer, and the ratio of ellipse diameters are alpha=12.3001 degrees, theta=5.9481 degrees, and D=1.5690.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Oceanography
Haoyu Li, Qisheng Tang, Shin-Ichi Ito, Yao Sun
Summary: Understanding the mechanisms of fish population fluctuations is crucial for sustainable fisheries management. This study utilized marine sediment records to investigate the relationship between Japanese anchovy abundance and environmental changes, highlighting the impacts of ecosystem structure and sea surface temperatures on anchovy stocks. Additionally, it was found that fishing activities and climate variability also play significant roles in influencing anchovy population dynamics.
JOURNAL OF OCEANOGRAPHY
(2021)
Article
Fisheries
Hitomi Oyaizu, Satoshi Suyama, Daisuke Ambe, Shin-ichi Ito, Sachihiko Itoh
Summary: In this study, an individual-based model was developed to investigate the relationship between transport/migration and growth in age-0 Pacific saury during the first year after hatching. The model utilized satellite data to calculate sea surface temperature, chlorophyll a, and velocity, and simulated individual growth and transport/migration. The results showed that the extended kinesis algorithm stimulated with growth rate condition yielded the most plausible results, and considering distribution-based mortality improved the consistency of the model with otolith-derived growth histories.
Article
Environmental Sciences
Yota Harada, Shin-ichi Ito, Nanako O. Ogawa, Chisato Yoshikawa, Naoto F. Ishikawa, Michio Yoneda, Naohiko Ohkouchi
Summary: Fish migration plays a crucial role in marine conservation and fisheries management, but patterns are changing due to ocean conditions. A new method using isotopes in fish eye lenses can reconstruct geographic and trophic histories. This study analyzed the nitrogen isotope ratios of amino acids in chub mackerel eye lenses to distinguish migration and trophic changes.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Fisheries
Shigeho Kakehi, Midori Hashimoto, Miyako Naya, Shin-ichi Ito, Hiroomi Miyamoto, Satoshi Suyama
Summary: This study investigated the inter-annual variations in westward spawning migration parameters of the Pacific saury. The results showed that there was a delay in the initiation date of spawning migration in 2019 and 2020, leading to an eastward shift of fishing grounds. Additionally, the average body weight of the saury had a significant negative correlation with the initiation date of spawning migration, indicating that even with low body weight, the saury had to start the migration.
FISHERIES OCEANOGRAPHY
(2022)
Article
Geosciences, Multidisciplinary
Takaaki Yokoi, Shin-ichi Ito, Enrique Curchitser
Summary: This study examines the seasonal and interannual variability in vertical nutrient supply above the Seychelles Dome in the southwestern tropical Indian Ocean. The results show that seasonal phytoplankton blooms are mainly controlled by vertical processes, with nutrient concentrations increasing during blooming season due to vertical diffusion and entrainment. Interannual variations in nutrient concentrations and surface chlorophyll are strongly related to the intensity of the subsurface Seychelles Dome.
JOURNAL OF MARINE SYSTEMS
(2022)
Review
Oceanography
Chenying Guo, Shin-ichi Ito, Yasuhiro Kamimura, Peng Xiu
Summary: Chub mackerel is an important fisheries target species, and this study used a bioenergetics model to investigate the factors influencing their early life history. The results showed that the growth and migration of chub mackerel are closely related to the prey environment, with individuals experiencing higher growth in better prey fields. The distance between the Kuroshio axis and the Boso Peninsula also affected coastal water temperature and prey species, thereby influencing the early growth of chub mackerel.
PROGRESS IN OCEANOGRAPHY
(2022)
Article
Fisheries
Zhen Lin, Toshihide Kitakado, Naoki Suzuki, Shin-ichi Ito
Summary: The impact of stock enhancement on increasing biomass is not well understood. This study developed a state-space production model to evaluate the impact of stock enhancement on population dynamics. The results showed that the use of valid prior biomass reference data improved the performance of the model. As a case study, the study examined the impact of stock enhancement on Japanese flounder in the Seto Inland Sea and found limited contribution. Future projections showed that stock enhancement was more effective at augmenting biomass under higher fishing pressure, but total biomass decreased simultaneously.
FISHERIES RESEARCH
(2022)
Article
Oceanography
Sebastian Essink, Eric Kunze, Ren-Chieh Lien, Ryuichiro Inoue, Shin-Ichi Ito
Summary: The interaction between near-inertial waves and balanced eddy fields affects the intensity and location of turbulent dissipation and mixing. This study used profiling floats and ray-tracing simulations to investigate the propagation and turbulence characteristics of near-inertial waves near a mesoscale anticyclonic eddy. The results suggest that radial vorticity gradients and Doppler shifting play a major role in governing wave dynamics and turbulence in the eddy region.
JOURNAL OF PHYSICAL OCEANOGRAPHY
(2022)
Article
Ecology
Shinnosuke Kaga, Shigeho Kakehi, Kimiaki Naiki, Takuya Kodama, Taku Wagawa, Satoshi Segawa, Shiho Watanabe, Tatsuya Musashi, Hiroshi Kuroda, Shin-ichi Ito
Summary: An intensive aquaculture industry in Sanriku coastal waters produces a significant amount of Japan's wakame seaweed. This study examined nutrient fluctuations and found that the Tsugaru Warm Current plays a crucial role in nutrient supply to the wakame farms.
REGIONAL STUDIES IN MARINE SCIENCE
(2022)
Article
Multidisciplinary Sciences
Zeshu Yu, Shin-ichi Ito, Marty Kwok-Shing Wong, Susumu Yoshizawa, Jun Inoue, Sachihiko Itoh, Ryuji Yukami, Kazuo Ishikawa, Chenying Guo, Minoru Ijichi, Susumu Hyodo
Summary: In this study, the performance of two OceanDNA analysis methods, qPCR and MiFish, were tested to determine the distribution of small pelagic fish in the open ocean. The results showed a positive correlation between the two methods, but the detection rate using qPCR was consistently higher than that of MiFish. It was recommended to use both methods together to monitor the quantitative distribution and fish community structures of small pelagic fish species.
Review
Oceanography
Megumi Enomoto, Shin-ichi Ito, Motomitsu Takahashi, Chiyuki Sassa, Tomihiko Higuchi, Kotaro Shirai
Summary: This study analyzed the vertical habitat shift of juvenile Japanese jack mackerel using oxygen stable isotope analysis, and determined the timing and duration of the shift. The results showed that the fish's body length and growth conditions influence the timing of the habitat shift.
PROGRESS IN OCEANOGRAPHY
(2022)
Article
Oceanography
Shuhao Liu, Yongjun Tian, Yang Liu, Irene D. Alabia, Jiahua Cheng, Shin-ichi Ito
Summary: One major challenge in species distribution models (SDMs) is incorporating the influence of prey on the predator. This study utilizes a prey-predator species distribution model (PPSDM) to predict the habitat of Japanese Spanish mackerel in the China Seas. The PPSDM considers environmental variables such as sea surface temperature, bathymetry, and sea surface current, as well as a biotic variable, the predicted prey distribution (Japanese anchovy). The results show the importance of wintering ground temperature, salinity, and bottom topography in determining the habitat of Japanese Spanish mackerel.
DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
(2023)
Editorial Material
Fisheries
Steven J. Bograd, Martin Edwards, Shin-ichi Ito, Janet Nye, Emily Chappell
Summary: The journal Fisheries Oceanography serves as a global platform for fisheries scientists and oceanographers to understand the impact of environmental variability and climate change on marine ecosystems and the services they provide to society. In this special issue and the 30th Anniversary Virtual Issue, the journal commemorates 30 years of publishing influential research in the field, showcasing the extent, depth, and impact of their publications. The journal also reflects on the evolution of research themes and highlights emerging themes in the field.
FISHERIES OCEANOGRAPHY
(2023)
Article
Limnology
Yoshio Masuda, Yasuhiro Yamanaka, Sherwood Lan Smith, Takafumi Hirata, Hideyuki Nakano, Akira Oka, Hiroshi Sumata, Maki Noguchi Aita
Summary: The carbon to nitrogen ratio of phytoplankton plays a crucial role in connecting carbon and nitrogen cycles in the ocean. The variation in this ratio due to climate change affects carbon fixation through photosynthesis and carbon sequestration in the ocean. By incorporating phytoplankton acclimation theory into a marine ecosystem model, we explain the observed variations in phytoplankton CN ratios based on their acclimation to environmental conditions and differences in minimum nitrogen cell quota. Our model suggests that the global mean phytoplankton CN ratio is higher than the canonical Redfield ratio.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Fisheries
Qinwang Xing, Haiqing Yu, Hui Wang, Shin-ichi Ito, Fei Chai
Summary: Frequent fishing activities are causing overfishing, destroying the habitat of marine life, and threatening global marine biodiversity. Understanding the dynamics of fishing activities and their drivers is crucial for designing and implementing effective ocean management. Global fishing activities primarily targeting tuna were found to be closely related to mesoscale eddies in the global midlatitude ocean, with activities aggregated in anticyclonic eddy cores.
FISH AND FISHERIES
(2023)
Article
Ecology
Florian Lecorvaisier, Dominique Pontier, Benoit Soubeyrand, David Fouchet
Summary: Research has found that the use of vaccines that do not entirely block pathogen transmission may lead to the evolution of more virulent strains. High vaccine coverage favors the emergence and prevalence of avirulent strains, and competition between strains is crucial for the eradication of toxigenic strains when these vaccines are used.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Monica E. Barros, Ana Arriagada, Hugo Arancibia, Sergio Neira
Summary: The stock biomass of carrot prawn in the south-central area of Chile has decreased in the past 12 years, mainly due to fishing mortality. Predation mortality has been less studied and quantified, so it is important to estimate and compare predation and fishing mortality to understand their effects on fishing stocks. A food web model was built to analyze the biomass changes and evaluate the relative contribution of different mortality factors. The results showed that predation mortality was the main component of total mortality for carrot prawns and yellow prawns.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shubham Krishna, Victoria Peterson, Luisa Listmann, Jana Hinners
Summary: This study incorporated viral dynamics into an ecosystem model to investigate the effects of viruses on ecosystem dynamics under current and future climatic conditions. The results showed that the presence of viruses increased nutrient retention in the upper water column, leading to a reduction in phytoplankton biomass and transfer of biomass to higher trophic levels.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zahra Dehghan Manshadi, Parastoo Parivar, Ahad Sotoudeh, Ali Morovati Sharifabadi
Summary: This study demonstrates the importance of strategies such as limiting built-up areas, preserving green spaces, and protecting water resources on the urban carrying capacity in arid and semi-arid regions. Implementing a combination of policies aimed at enhancing urban green spaces and regulating water demand is found to be the most effective in terms of health and urban carrying capacity.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shay S. Keretz, Daelyn A. Woolnough, Todd J. Morris, Edward F. Roseman, David T. Zanatta
Summary: This study surveyed native freshwater mussels in the St. Clair-Detroit River system and found 14 live unionids representing 9 species. However, the model used to predict their presence in the main channels was not successful. The study also revealed characteristic differences between the St. Clair and Detroit Rivers.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zhengrong Zhang, Xuemei Li, Xinyu Liu, Kaixin Zhao
Summary: This study examines land use change in the Chinese Tianshan mountainous region using system dynamics and patch-generating land use simulation models. The results show an expansion in forest and construction land, a decline in grassland area, and an increase in cultivated land area from 2005 to 2020. By 2040, unused land, grassland, and water are expected to decrease while other land types increase, with construction land showing the most significant increase. The study provides insights for future ecological and environmental management in the region.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Amira Khelifa, Nadjia El Saadi
Summary: This paper develops an agent-based model to study malaria disease transmission, taking into account the interactions between hosts, vectors, and aquatic habitats, as well as their geographical locations. The simulation results highlight the significant role of aquatic habitats in infection transmission and disease persistence, and demonstrate the effectiveness of eliminating these habitats in limiting disease transmission.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Guillaume Peron
Summary: The theory for movement-based coexistence between species often overlooks small-scale, station-keeping movements. However, at this scale, there are many instances where positive correlations exist between species traits that are expected to be negatively correlated based on current theory. Through simulations, the researcher presents a counter-example to demonstrate that functional tradeoffs are not a necessary condition for movement-based coexistence. This study highlights the significance of species-specific space use patterns under the time allocation tradeoff hypothesis.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sandra Y. Mendiola, Nicole M. Gerardo, David J. Civitello
Summary: Research on the use of insect microbial symbionts as a means of controlling the spread of insect vectors and the pathogens they carry has made significant progress in the last decade. This study focused on the relative importance of simultaneous effects caused by a symbiont called Caballeronia spp. on the ability of squash bugs to transmit phytopathogenic Serratia marcescens. The researchers found that infection with Caballeronia significantly reduced pathogen titers and cleared S. marcescens in bugs, thus reducing the vectoring potential of these pests. The study also showed that maximizing symbiont prevalence in the vector population is crucial for effectively mitigating plant infections.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shirui Hao, Dongryeol Ryu, Andrew W. Western, Eileen Perry, Heye Bogena, Harrie Jan Hendricks Franssen
Summary: This study investigates the sensitivity of model yield prediction to uncertainties in model parameters and inputs using the Sobol' method. The results show that yield is more sensitive to changes in water availability and nitrogen availability, depending on soil, management, and weather conditions.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Nitika Mundetia, Devesh Sharma, Aditya Sharma
Summary: This study focused on assessing groundwater sustainability using different modeling approaches in a river basin in Rajasthan, India. The results showed a decrease in future groundwater recharge and emphasized the need for better management and conservation practices to achieve sustainable development goals.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sukdev Biswas, Sk Golam Mortoja, Ritesh Kumar Bera, Sabyasachi Bhattacharya
Summary: Bacteria play a crucial role in regulating the nutrient cycle of ecosystems, and maintaining a thriving bacterial population is essential for the sustainability of these environments. This study introduces the concept of cooperation as a group defense mechanism employed by bacteria and incorporates it into the functional response, offering a more comprehensive understanding of the complex tritrophic food chain dynamics. The results highlight the importance of a balance between strong group defense and moderate cooperation for bacteria sustainability and overall system stability.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
D. Z. M. Le Gouvello, S. Heye, L. R. Harris, J. Temple-Boyer, P. Gaspar, M. G. Hart-Davis, C. Louro, R. Nel
Summary: This study modeled the dispersal pathways and compared potential dispersal corridors of different sea turtle species in the Western Indian Ocean. The results showed that ocean currents play a major role in driving dispersal, with species and years exhibiting differences in dispersal patterns. Active swimming had little influence on dispersal during the first year.
ECOLOGICAL MODELLING
(2024)
Review
Ecology
Yingying Duan, Haina Rong, Gexiang Zhang, Sergey Gorbachev, Dunwu Qi, Luis Valencia-Cabrera, Mario J. Perez-Jimenez
Summary: Computing models are an effective way to study population dynamics of endangered species like giant pandas. This paper proposes a unified framework and conducts a comprehensive survey of computing models for giant panda ecosystems. Multi-factor computing models are more suitable for studying giant panda ecosystems.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Samantha Lai, Theophilus Zhi En Teo, Arief Rullyanto, Jeffery Low, Karenne Tun, Peter A. Todd, Siti Maryam Yaakub
Summary: Understanding the exchange of genetic material among populations in the marine environment is crucial for conservation efforts. Agent-based models are increasingly used to predict dispersal pathways, including for seagrasses. This study highlights the importance of considering both sexual propagules and asexual vegetative fragments when evaluating seagrass connectivity.
ECOLOGICAL MODELLING
(2024)